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`PGR2023-00039
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`DECLARATION OF DR. FENGQI YOU
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`I, Fengqi You, declare as follows:
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`1.
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`I have been retained on behalf of Upstream Data Inc. (“Upstream” or
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`“Patent Owner” or “PO”) to offer technical opinions relating to U.S. Patent No.
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`11,574,372 (the “’372 patent”). I understand that the ’372 patent is subject to a
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`petition by Crusoe Energy Systems, LLC (“Crusoe” or “Petitioner”) requesting the
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`Patent Trial and Appeal Board (“PTAB” or “Board”) to institute a post-grant
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`review (“PGR”).
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`2.
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`I have been asked to provide my independent analysis of the ’372
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`patent, Crusoe’s PGR petition, the prior art cited therein and the arguments and
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`analysis in the petition and declarations submitted by Crusoe, in particular the
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`declarations by Dr. Michael Nikolaou (EX1003) and Mr. Vernon Kasdorf
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`(EX1004) stating their opinions regarding the validity of the ’372 patent. For this
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`declaration I was asked to focus on certain aspects of the petition and declarations,
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`such as the motivation to combine and whether the prior art in the petition was
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`substantially similar to prior art considered during ’372 patent prosecution. I also
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`address patentability of the challenged claims under 35 U.S.C. § 101 and the
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`related opinions by Nikolaou and Kasdorf.
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`3. My opinions in this declaration are made from the perspective of one
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`of ordinary skill in the art at the time of the invention.
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`4.
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`I am not and never have been an employee of Upstream. I received no
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`compensation for this declaration beyond my normal hourly compensation for my
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`time actually spent preparing this declaration, including analysis of the petition and
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`materials cited therein. This compensation is not contingent on the nature of my
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`findings or the outcome of this PGR or any other proceeding or litigation related to
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`the ’372 patent.
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`I. QUALIFICATIONS
`5.
`I am a Professor at Cornell University, where I also hold the Roxanne
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`E. and Michael J. Zak Chair Professorship in the School of Chemical and
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`Biomolecular Engineering. Within Cornell, I also serve as the Chair of Ph.D.
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`Studies in Systems Engineering, Co-Director of the Cornell University AI for
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`Science Institute, Co-Lead of the Schmidt AI in Science Program, and Co-Director
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`of the Cornell Institute for Digital Agriculture. I also have teaching and research
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`appointments in eight other engineering and science departments at Cornell
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`University. These include Computer Science, Electrical and Computer
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`Engineering, Operations Research and Information Engineering, Systems
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`Engineering, Mechanical and Aerospace Engineering, Civil and Environmental
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`Engineering, Applied Information Systems, and Applied Mathematics. I actively
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`mentor over 30 graduate students across the aforementioned science and
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`engineering departments, guiding them in their original research projects and
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`assisting with their dissertations. I also routinely supervise 5 post-doctoral
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`scholars, in addition to dozens of undergraduate students.
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`6.
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`I earned a Bachelor of Engineering degree in Chemical Engineering
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`from Tsinghua University in Beijing, China, in 2005, followed by a PhD in
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`Chemical Engineering with a concentration on Process Systems Engineering and
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`Artificial Intelligence (AI) from Carnegie Mellon University in Pittsburgh,
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`Pennsylvania, in 2009. Before joining Cornell University in 2016, I spent two
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`years in the Mathematics and Computer Science Division at Argonne National
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`Laboratory. I also served for five years at Northwestern University as an Assistant
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`Professor of Chemical and Biological Engineering, and of Industrial Engineering
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`and Management Sciences.
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`7.
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`In my role as a Professor at Cornell University I teach both
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`undergraduate and graduate courses and give guest lectures every year for the
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`various engineering and science departments listed above. The courses and lectures
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`cover a wide range of topics, ranging from chemical engineering, energy systems,
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`process engineering, artificial intelligence (AI), renewable energy, sustainability,
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`computational modeling, computer science and engineering, process design,
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`industrial manufacturing, chemistry, physics, materials science and processing,
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`biological engineering, life sciences, food and agriculture, climate, automation and
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`control, electrical and electronic engineering, quantum computing, infrastructure,
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`transportation, buildings and architecture, among many others.
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`8.
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`I have authored over 250 refereed articles in high-impact journals
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`such as Science, Nature Sustainability, Nature Communications, Science Advances,
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`and Proceedings of the National Academy of Sciences of the United States of
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`America (PNAS). I have also published over 160 peer-reviewed conference
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`proceedings, one book and authored nine book chapters on various aspects of
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`science and engineering. Parts of my research have earned editorial highlights in
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`Science and Nature, features on dozens of journal covers (e.g., Energy &
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`Environmental Science, Environmental Science & Technology, ACS Sustainable
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`Chemistry & Engineering, AIChE Journal, Industrial & Engineering Chemistry
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`Research), and coverage in leading media outlets (e.g., New York Times, BBC,
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`Reuters, Washington Post, Wall Street Journal, Fortune, Daily Mail, Agence
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`France-Presse, Bloomberg, Scientific American, Newsweek, BusinessWeek, Hill,
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`Guardian, New Scientist, Popular Science, and National Geographic). I serve as an
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`editor of Computers & Chemical Engineering; associate editor of AAAS journal
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`Science Advances and IEEE Transactions on Control Systems Technology;
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`consulting editor of AIChE Journal; subject editor of Advances in Applied Energy;
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`guest editor of Energy, Journal of Cleaner Production, and Renewable &
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`Sustainable Energy Reviews; and is on the editorial boards of ACS Sustainable
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`Chemistry & Engineering, Industrial & Engineering Chemistry Research, PRX
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`Energy, and more. I have delivered over 100 plenary or keynote lectures at leading
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`academic conference domestically and abroad. I was invited by the USPTO’s
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`Patent Examiners Technical Training Program (PETTP) to present a lecture on the
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`topic of AI in process industries in the past spring.
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`9.
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`I serve regularly as a peer reviewer at dozens of major engineering
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`and scientific journals as well as at federal and international funding agencies,
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`including National Science Foundation (NSF), Department of Energy, ACS
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`Petroleum Research Fund, ETH Research Commission, Switzerland, Qatar
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`National Research Fund, Ontario Research Fund, Canada, Ministry of Education
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`and Science, Republic of Kazakhstan, Natural Sciences and Engineering Research
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`Council, Canada, Engineering and Physical Sciences Research Council, UK,
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`United Arab Emirates University Advanced Research Program, UAE, Swiss
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`National Science Foundation, Austrian Science Fund (FWF), Technology
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`Foundation STW, Netherlands, Fondazione Cariplo, Italy, Israeli Ministry of
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`Science, Technology and Space, Netherlands Organisation for Scientific Research
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`(NWO), Chilean National Science and Technology Commission (CONICYT –
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`Chile), São Paulo Research Foundation (FAPESP), Luxembourg National Research
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`Fund (FNR), French National Research Agency (ANR), Czech Science
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`Foundation, Italian Medicines Agency (AIFA), National Research Foundation of
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`Singapore, National Science Center, Poland, The Science Foundation Ireland (SFI),
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`Ministry of Earth Sciences (MoES) in India, Indian Council of Social Science
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`Research (ICSSR), among others.
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`10.
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`I have been recognized as an award-winning scholar and teacher,
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`earning over 20 major national and international accolades in the last six years.
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`These come from notable professional organizations and societies, such as the
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`American Institute of Chemical Engineers (AIChE), American Chemical Society
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`(ACS), Royal Society of Chemistry (RSC), American Society for Engineering
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`Education (ASEE), American Automatic Control Council (AACC), in addition to
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`multiple best paper awards. Selected ones include NSF CAREER Award (2016),
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`AIChE Environmental Division Early Career Award (2017), AIChE Research
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`Excellence in Sustainable Engineering Award (2017), Computing and Systems
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`Technology (CAST) Outstanding Young Researcher Award from AIChE (2018),
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`Cornell Engineering Research Excellence Award (2018), ACS Sustainable
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`Chemistry & Engineering Lectureship Award (2018), AIChE Excellence in Process
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`Development Research Award (2019), AIChE Innovations in Green Process
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`Engineering Award (2020), Mr. & Mrs. Richard F. Tucker Excellence in Teaching
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`Award (2020), ASEE Curtis W. McGraw Research Award (2020), O. Hugo Schuck
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`Award from AACC (2020), AIChE Sustainable Engineering Forum Education
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`Award (2021), AIChE George Lappin Award (2022), and Stratis V. Sotirchos
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`7
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`Lectureship Award by Foundation for Research & Technology – Hellas (FORTH)
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`(2022). Furthermore, I am an elected Fellow of the Royal Society of Chemistry
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`(FRSC), Fellow of the American Institute of Chemical Engineers (AIChE), and
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`Fellow of the American Association for the Advancement of Science (AAAS).
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`11. My research interests and broad research experience span multiple
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`disciplines across engineering, chemistry, physical sciences, and life sciences. For
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`instance, I have authored over 50 peer-reviewed publications in the realm of fuel
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`and natural gas processing in the last decade. My work encompasses a range of
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`topics, including modular chemical manufacturing for natural gas and energy
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`systems for blockchain mining. My research in energy systems for blockchain
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`mining has been published in high-impacts journals, including Proceedings of the
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`National Academy of Sciences (PNAS) [Lal and You, 2023], Energy &
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`Environmental Science [Niaz, Shams, Liu, and You, 2022], ACS Sustainable
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`Chemistry & Engineering [Lal, Zhu, and You, 2023], and Journal of Cleaner
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`Production [Niaz, Liu, and You, 2022]. The papers in Energy & Environmental
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`Science and ACS Sustainable Chemistry & Engineering have been featured on the
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`covers of these high-impact journals. The PNAS paper was reported by leading
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`media outlets, including Fortune, ScienceDaily, and Tech Xplore.
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`12. My curriculum vitae, which includes a complete list of my
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`publications, is included as Appendix A. I am being compensated at a rate of $700
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`per hour for my work in this case. This compensation is not contingent on the
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`nature of my findings or the outcome of this litigation.
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`13.
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`I am over the age of 18 and am competent to write this declaration. I
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`have personal knowledge, or have developed knowledge, of the technologies
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`discussed in this declaration based upon my education, training, or experience with
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`the matters discussed herein.
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`II. SUMMARY OF OPINIONS
`14. With regard to the five grounds asserting obviousness:
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` Ground 1: Challenged claims (1-4, 8, 16-30, and 34) are not obvious
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`over Dickerson and CryptoKube in view of Szhmigielski and
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`Kheterpal at least because a person of ordinary skill in the art (or
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`“POSITA”) would not have motivation to combine said references and
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`would not expect a reasonable expectation of success.
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` Ground 2: Challenged claims (1-4, 8, 10-12, 15-30, 34-37, and 40)
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`are not obvious over Dickerson, CryptoKube, and Belady-989 in view
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`of Szhmigielski and Kheterpal at least because a POSITA would not
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`have motivation to combine said references and would not expect a
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`reasonable expectation of success.
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` Ground 3: Challenged claims (1-4, 7-12, 15-30, 34-37, and 40) are
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`not obvious over Dickerson, CryptoKube, Belady-989, and Boot in
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`9
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`view of Szmigielski and Kheterpal at least because a POSITA would
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`not have motivation to combine said references and would not expect
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`a reasonable expectation of success.
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` Ground 4: Challenged claims (1-4, 8, 16-30, and 34) are not obvious
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`over MAGS system and the Polivka miner at least because a POSITA
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`would not have motivation to combine said references and would not
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`expect a reasonable expectation of success.
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` Ground 5: Challenged claims (1-4, 8, 10-12, 15-30, 34-37, and 40)
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`are not obvious over MAGS system, the Polivka miner, and Belady-
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`989 at least because a POSITA would not have motivation to combine
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`said references and would not expect a reasonable expectation of
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`success.
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`III. PERSON OF ORDINARY SKILL IN THE ART
`15.
`I have reviewed Petitioner’s proposal for a POSITA definition and I
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`disagree to the extent it implies that a POSITA did not need to have experience in
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`oil and gas industry, including with wellsite power generation, and experience with
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`crypto mining. The ’372 patent advanced the state of the art by combining these
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`two previously separate fields. While this combination of casinghead gas power
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`generation and crypto mining was beyond the ordinary skill at the time, a POSITA
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`would have needed at least a reasonable grounding in both technologies.
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`16. For purposes of forming my opinions expressed in this declaration I
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`assumed the definition proposed by Petitioner. My opinions and conclusions in this
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`declaration would not change if a POSITA had some experience in both
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`technologies.
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`IV. LEGAL PRINCIPLES
`17.
`I have been advised of the following legal standards and principles
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`which I have applied in forming my opinions.
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`1. Claim Construction
`18. Patent claim terms are construed by referring to intrinsic evidence,
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`which includes the claim language, the patent specification, and the prosecution
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`history and extrinsic evidence. The words of patent claims are to be given their
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`ordinary or customary meaning (also referred to as plain and ordinary meaning)
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`unless the inventor has defined them (acted as their own lexicographer) or used
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`them differently (i.e., in a manner inconsistent with the ordinary and customary
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`meaning). The prosecution history of a patent, and related patents and
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`applications, may limit the interpretation of the claim, especially if the patentee
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`disavowed or disclaimed any claim scope in order to obtain allowance of the claim.
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`2. Obviousness
`19.
`I understand that a patent claim is rendered obvious if the claimed
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`invention would have been obvious to a person of ordinary skill in the art as of the
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`date of invention. A determination of obviousness is made after weighing the
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`following factors: (1) level of ordinary skill in the pertinent art; (2) the scope and
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`content of the prior art; (3) the differences between the prior art as a whole and the
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`claim at issue; and (4) as appropriate, secondary considerations of non-
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`obviousness.
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`20.
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`In evaluating obviousness, both the prior art and claimed invention
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`should be viewed through the knowledge and understanding of a person of
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`ordinary skill in the art at the time of the invention – one should not use his or her
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`own insight or hindsight in deciding whether a claim is obvious. A claim may be
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`rendered obvious if a person of ordinary skill in the art would understand the
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`claimed invention as a predictable variation of a prior art reference. I further
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`understand that an obviousness evaluation can be made on a single reference or a
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`combination of several prior art references. I understand that where the claim is an
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`obvious variant of a prior art product or system, any modification of the prior art
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`product or system must be supported by a suggestion, motivation, or reason to
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`make the modification. I further understand that obviousness analysis recognizes
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`that market demand often drives innovation, and that a motivation to modify a
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`product or system may be supplied by the direction of the marketplace.
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`21. On the other hand, I further understand that a claim may not be
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`obvious if a person of ordinary skill would not be motivated to combine or modify
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`the prior art, or would not have a reasonable expectation of success in doing so.
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`22. A particular modification of a prior art system or product may be
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`made by showing that it was obvious to try the modification. For example,
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`common sense is a good reason for a person of ordinary skill to pursue known
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`options when there is a design need or market pressure to solve a problem and
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`there are a finite number of identified, predictable solutions. I understand that
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`obviousness analysis may take into account the inferences and creative steps that a
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`person of ordinary skill in the art would employ under the circumstances. I
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`understand that the combination of familiar elements according to known methods
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`is likely to be obvious when it does no more than yield predictable results. When a
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`work is available in one field of endeavor, design incentives and other market
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`forces can prompt variations of it. If a person of ordinary skill in the art can
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`implement a predictable variation, then the patent claim may be obvious.
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`23.
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`I understand that at least the following rationales may support a
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`finding of obviousness: (1) combining prior art elements according to known
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`methods to yield predictable results; (2) simple substitution of one known element
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`for another to obtain predictable results; (3) use of a known technique to improve
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`similar devices (methods, or products) in the same way; (4) applying a known
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`technique to a known device (method, or product) ready for improvement to yield
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`predictable results; (5) “obvious to try”—choosing from a finite number of
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`identified, predictable solutions, with a reasonable expectation of success; (6) a
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`predictable variation of work in the same or a different field of endeavor if a
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`person of ordinary skill would be able to implement the variation; (7) there existed
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`a known problem for which there was an obvious solution encompassed by the
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`patent’s claims at the time of the claimed invention; (8) known work in one field
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`may prompt variations of it for use in either the same field or a different one based
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`on design incentives or other market forces if the variations would have been
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`predictable to one of ordinary skill in the art; and (9) some teaching, suggestion, or
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`motivation in the prior art that would have led one of ordinary skill to modify the
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`prior art reference or to combine prior art reference teachings to arrive at the
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`claimed invention.
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`24.
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`I have been informed that one or more so-called “secondary
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`considerations of non-obviousness” may impact the obviousness analysis if they
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`are present. I have been informed that secondary considerations may include: (1)
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`whether the invention proceeded in a direction contrary to accepted wisdom in the
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`field; (2) whether there was a long felt but unresolved need in the art that was
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`satisfied by the invention; (3) whether others had tried but failed to make the
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`invention; (4) whether others copied the invention; (5) whether the invention
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`achieved unexpected results; (6) whether the invention was praised by others; (7)
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`whether others have taken licenses to use the invention; (8) whether experts or
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`those skilled in the art at the making of the invention expressed surprise or
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`disbelief regarding the invention; and (9) whether products incorporating the
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`invention have achieved commercial success that is attributable to the invention.
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`25.
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`I also understand that another indication of obviousness may be that
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`others having ordinary skill in the field independently made the claimed invention
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`at about the same time the inventor made the invention.
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`26.
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`I also understand that for any such secondary consideration to be
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`relevant, there must be a connection or “nexus” between the secondary
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`consideration and the claimed invention. For example, commercial success of a
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`product is relevant to obviousness only if the success of the product is attributable
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`to the patented features of the claimed invention. If, on the other hand, commercial
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`success is due to features of the product not claimed in the patent, due to claimed
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`features that existed in the prior art, and/or due to advertising, promotion,
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`salesmanship or the like, then any commercial success should not be considered an
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`indication of non-obviousness.
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`3. Section 101
`27.
`I understand that a two-step framework is used to determine whether
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`patent claims are directed towards patent-eligible subject matter. First, a
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`determination must be made as to whether the claims are directed towards one of
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`the three patent-ineligible subjects: laws of nature, natural phenomena, and abstract
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`ideas. If the claims do not fall within one of these three patent-ineligible subjects, I
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`understand that the claims satisfy 35 U.S.C. § 101 and there is no need to proceed
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`to the second step. However, if the claims are determined to be directed towards
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`one of these patent-ineligible subjects, then the analysis must proceed to step two. I
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`further understand that the examination of whether a claim is directed to an
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`abstract idea may also weigh whether the claim recites the practical application of
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`the subject matter of the claim.
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`28. At step two, I am informed that the inquiry is whether an inventive
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`concept such as an element or combination of elements is recited that is sufficient
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`to ensure that the patent in practice amounts to significantly more than a patent
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`upon the abstract idea itself. At step two, I understand it is also necessary to
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`consider whether the claim elements or the claimed combination are well-
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`understood, routine, conventional.
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`V. OVERVIEW OF ’372 PATENT
`29. The following is a brief summary of the ’372 patent based on my
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`review. The ’372 patent claims priority to provisional application 62/456,380, filed
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`on February 8, 2017. See EX1001. The patent is “related to blockchain mining at
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`an oil or gas facility.” EX1001, 1:6-7. The ’372 patent explains that “[i]n upstream
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`production of oil and gas, natural gas may be produced … as a by-product of oil
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`production, for example from an oil well.” EX1001, 6:51-54. This form of natural
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`gas is referred to as undesirable casinghead gas, casing gas or simply raw
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`gas. EX1001, 4:62-63, 8:66-9:3.
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`30. The prior art knew some ways to utilize casinghead gas. For example,
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`it was known to consume it as “on-site fuel or for instrumentation pressure.”
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`EX1001, 6:56-58. If there was a significant gas volume beyond what could be
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`consumed onsite, gas could be sold to market through a connection to a pipeline
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`network, compression, or liquefaction to transportable LNG. EX1001, 6:59-64. If a
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`grid connection was available, casinghead gas could be used to generate electricity
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`for sale to the power grid. EX1001, 6:63-67.
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`31. However, gas “may be located at a remote oil and gas site” that lacks
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`“accessible infrastructure such as an external pipeline network (sales line) or
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`external power grid to sell into” and may be “hundreds of kilometers outside of the
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`nearest town.” EX1001, 7:46-49, 8:20-23. In such cases “it may not be
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`economically feasible … to take the gas, or resultant electricity … to market, for
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`example due to significant capital expense required or when the volume of gas is
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`insufficient to pay out the investment.” EX1001, 7:49-54, 8:11-23. As is known in
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`the art, the gas is “stranded.” EX1001, 7:54-56.
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`32.
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`In such cases, a common solution is to vent or flare (burn) the
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`stranded gas. EX1001, 1:11-13, 7:61-8:10. However, this prior art solution is
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`undesirable because it creates greenhouse gas emissions, wastes the potential
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`energy of the gas, requires capital expenditure, and may pose health risks. Id.
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`33. The novel solution taught by the ’372 patent is to use stranded gas to
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`power a portable blockchain mining device instead of flaring the gas. EX1001,
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`2:18-24.
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`34. As discussed in the ’372 patent, “[a] blockchain is a form of database,
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`which may be saved as a distributed ledger in a network of nodes that maintains a
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`continuously-growing list of records called blocks.” EX1001, 11:45-47. “The
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`administration of BITCOIN currency is currently the primary use for blockchain
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`technology.” EX1001, 11:57-60. “Maintaining a blockchain database is referred to
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`as mining, which refers to the distributed computational review process performed
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`on each block of data in a block-chain.” EX1001, 13:5-7. “Those involved in
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`BITCOIN mining are rewarded for their effort with newly created BITCOINs and
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`transaction fees.” EX1001, 13:9-13.
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`35. Blockchain mining (also referred to as crypto mining) differs from
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`many other types of computing in that it is “intentionally designed to be resource-
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`intensive and difficult so that the number of blocks found each day by miners
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`remains steady.” EX1001, 13:29-33, 13:44-48. This is unlike most other
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`computational loads (such as those running in a conventional data center) which
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`are typically designed to be as efficient and computationally economical as
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`possible. This intentionally energy-intensive problem comprises “a cryptographic
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`hashing algorithm.” EX1001, 13:49-52.
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`36. Since the energy cost of crypto mining is the primary operating cost,
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`the prior art mines were located primarily in places with low-cost hydroelectric
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`power such as China or the Pacific Northwest in the United States. EX1001, 14:4-
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`20; EX1009, 105.
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`37. Decentralizing crypto mining away from hydroelectric power to make
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`use of stranded gas at remote oil and gas production facilities required innovative
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`thinking and solutions disclosed in the ’372 patent. For example, unlike existing
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`crypto mines which could depend on reliable power sources (e.g., a hydroelectric
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`power plant connected to the grid), the ’372 patent’s bitcoin mine had to solve the
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`problem of variable casinghead gas production. The ’372 patent discloses solving
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`this problem by, for example, the mining controller modulating the mining power
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`load (also referred to as the hashrate) in real time to respond “to variations in a
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`supply or production rate of natural gas.” EX1001, 17:61-18:15. In addition, crypto
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`mining power levels may be adjusted to a daily minimum or maximum gas
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`production rate as different strategies to mitigate the variable production. EX1001,
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`18:34-19:13.
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`VI. CLAIM CONSTRUCTION
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`38.
`I have considered Petitioner’s proposals for construction of certain
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`claim terms from the perspective of one of ordinary skill at the time of the
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`invention, taking into account the ’372 patent’s teachings, the prosecution file
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`history, and the knowledge of a POSITA. For the following reasons, I disagree with
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`the Petitioner’s proposals regarding the meaning of the claim terms addressed
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`below.
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`4. “Blockchain Mining Devices” and “Mining Processor”
`39.
`In my opinion, the intrinsic evidence of the ’372 patent (that is, the
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`’372 patent specification, including claims, and the prosecution file history) does
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`not support Petitioner’s constructions. First, Petitioner nearly equates the meaning
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`of a “blockchain mining devices” with a “mining processor.” Pet. 4-6. However,
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`the specification makes clear (including with reference to Figure 4) that the
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`“mining device 12” is made of up of many components, such as a power meter 72,
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`a step-down transformer 80, “a controller 86, network equipment 88 such as a
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`modem and a network switch, … and one or more mining processors 92 such as
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`processors 92A-E.” EX1001, 16:32-39 (emphasis added); see also 17:23-29. With
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`respect to the mining processors 92, the ’372 patent details that “[e]ach mining
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`processor 92 may have a variety of configurations, but generally may include at
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`least a power supply, a controller board and mining circuity, such an ASIC circuit.
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`Various mining circuitry examples include CPU (central processing unit), GPU
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`(graphics processing unit), FPGA (Field-Programmable Gate Array), and ASIC
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`(application specific integrated circuit). The components of an ASIC mining
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`processor include the hash boards (each board has numerous chips that is doing the
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`hashing), a controller (to communicate with the network and optimize the mining
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`processors chip frequency and fans for colling), and a power supply (typically
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`converts AC input power to DC power for the ASIC).” EX1001, 17:9-21. A
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`person of ordinary skill in the art, therefore, would understand that a mining
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`processor is “a processor with blockchain mining circuitry.”
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`40. Second, Petitioner primarily relies on disclosure pertaining to a
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`“network of nodes” to reach its conclusion regarding the terms “blockchain mining
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`devices” and “mining processor.” Petitioner, however, appears to confuse the
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`existence of nodes within a network of nodes that “maintain … records” with
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`mining processors that include “circuitry for mining blockchain blocks.” For
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`example, while the nodes are described as “stor[ing] a copy of the global ledger”
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`within the blockchain database (EX1001, 14:22-43), the ’372 patent specification
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`describes the mining processor as providing the “require[d] computational effort”
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`measured by the “hashrate” (EX1001, 13:49-58). As the specification makes plain,
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`a simple node may be “desktop computers, laptop computers, tablet computers,
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`cellular telephones, servers, or other suitable devices” used for storing already
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`computed blocks within a blockchain. EX1001, 14:30-33. But, the “[m]ining
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`circuitry 130, for example integrated circuit chip, may be used to perform data
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`mining operations, for example verifying cryptocurrency transactions.” EX1001,
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`14:57-63; see also 17:9-21.
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`41. Accordingly, a node that simply stores a copy or partial copy of the
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`blockchain database may or may not have a mining processor. The teaching of the
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`specification is consistent with the language of the independent claims of the ’372
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`patent that describe “blockchain mining devices” as “each hav[ing] a mining
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`processor” and a “connection to a network interface.” EX1001, claims 1 and 24.
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`Because the claim language itself informs a person of ordinary skill as to the
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`meaning of the “blockchain mining devices,” in my opinion no construction of that
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`term is necessary.
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`42. Finally, Petitioner offers no support for its proposal to attach the
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`negative limitation “without regard to pr