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This is a Mensan Musings Monday on quantum computing in oil and gas. Resources below to get a head start on research: https://jpt.spe.org/guest-editorial-quantum-computing-a-beacon-of-transformation-for-the-oil-and-gas-industry https://www.oilandgasiq.com/data-analytics/articles/quantum-computings-impact-on-oil-gas-a-strategic-leap-forward https://www.researchgate.net/publication/329698028_Applications_of_Quantum_Computing_financial_models_in_oil_and_gas_industry Agrawal, Gaurav, and T. S. Ramakrishnan. "R&D Technical Section Q&A: Quantum Computing—Are We Ready?." J Pet Technol 77 (2025): 1–5. doi: https://doi.org/10.2118/0525-0009-JPT Rao, Xiang. "The First Application of Quantum Computing Algorithm in Streamline-Based Simulation of Water-Flooding Reservoirs." Paper presented at the ADIPEC, Abu Dhabi, UAE, November 2024. doi: https://doi.org/10.2118/221850-MS Moradi, Shahpoor, Trad, Daniel, and Kristopher A. Innanen. "Quantum computing in geophysics: Algorithms, computational costs, and future applications." Paper presented at the 2018 SEG International Exposition and Annual Meeting, Anaheim, California, USA, October 2018. doi: https://doi.org/10.1190/segam2018-2998507.1 Kumar, Ashutosh. "Quantum Computation for End-to-End Seismic Data Processing with Its Computational Advantages and Economic Sustainability." Paper presented at the ADIPEC, Abu Dhabi, UAE, October 2022. doi: https://doi.org/10.2118/211843-MS

This is a subseries of the Petropapers Podcast covering Mensan Musings Monday. Here are some resources to get your started on unconventional EOR https://jpt.spe.org/management-enhanced-recovery-technologies-unconventional-oil-reservoirs https://www.energy.gov/hgeo/shale-research-development?utm_source=copilot.com https://netl.doe.gov/node/15130?utm_source=copilot.com https://sagawisdom.com/courses/eor-for-unconventional-reservoirs/ https://www.sciencedirect.com/science/chapter/edited-volume/abs/pii/B9780128233634000042 https://pubs.acs.org/doi/10.1021/acs.energyfuels.2c03056 https://netl.doe.gov/node/15130 Tovar, Francisco D., Eide, Øyvind , Graue, Arne , and David S. Schechter. "Experimental Investigation of Enhanced Recovery in Unconventional Liquid Reservoirs using CO2: A Look Ahead to the Future of Unconventional EOR." Paper presented at the SPE Unconventional Resources Conference, The Woodlands, Texas, USA, April 2014. doi: https://doi.org/10.2118/169022-MS Lu, Bo, Liu, Songyuan, Li, Yifan, and Brian Price. "Full Cycle of Unconventional EOR with Microbial Technology – From Lab to Field." Paper presented at the SPE Improved Oil Recovery Conference, Virtual, April 2022. doi: https://doi.org/10.2118/209469-MS Bodini, Santiago Alejandro, Forni, Luis Pablo, Tuero, Fernando , Crotti, Marcelo Alejandro, and Inés Lidia Labayen. "Unconventional EOR: Field Tests Results in Vaca Muerta Shale Play: A Capillary Based Improved Oil Recovery Case Study for Shale/Tight Oil Scenarios.." Paper presented at the SPE Argentina Exploration and Production of Unconventional Resources Symposium, Neuquen, Argentina, August 2018. doi: https://doi.org/10.2118/191877-MS Yildirim, G., and D. Hegazy. "Evaluating the Impact of Well Spacing on Depletion, Stress Redistribution, and CO2 Huff-N-Puff EOR Performance in Unconventional Reservoirs." Paper presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2025. doi: https://doi.org/10.2118/228250-MS Ataceri, I. Z., Saputra, I. W. R., Bagareddy, A. R., Elkady, M. H., Schechter, D. S., Haddix, G. W., Brock, V. A., Raney, K. H., Strickland, C. W., and G. R. Morris. "Surfactant EOR Improves Oil Recovery in a Depleted Eagle Ford Unconventional Well - A Case Study." Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Denver, Colorado, USA, June 2023. doi: https://doi.org/10.15530/urtec-2023-3831548 Salman, Mohamad , Hahn, Ruth , Alvarez, Johannes , Unomah, Michael , Huynh, Michelle , Dwarakanath, Varadarajan , Pinnawala, Gayani , Tang, Tom , Krezinski, Kelly , Alworth, Dwight , Holguin, Tony , and Taimur Malik. "Piloting of Chemical EOR in Unconventional Liquid Reservoirs." Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, Texas, USA, June 2025. doi: https://doi.org/10.15530/urtec-2025-4260303

Thank you Re-Gen for the sponsorship. This is a must-listen to episode of how a niche business can become successful in multiple industries by providing recycling solutions. Check out the Re-Gen website here: https://re-genenterprises.com/

This is PetroPapers S7E1 discussing oil and gas finance with Victor Mendoza. He discusses the use of ABS in oil and gas assets

This is my Mensan Musings Monday on the Advancements in Reservoir Simulation. Young, Larry C.. "Compositional Reservoir Simulation: A Review." SPE J. 27 (2022): 2746–2792. doi: https://doi.org/10.2118/208610-PA Swinkels, Wim J. A. M., and Rik J. J. Drenth. "Thermal Reservoir Simulation Model of Production From Naturally Occurring Gas Hydrate Accumulations." SPE Res Eval & Eng 3 (2000): 559–566. doi: https://doi.org/10.2118/68213-PA Goodwin, Nigel H. "Bridging the Gap Between Material Balance and Reservoir Simulation for History Matching and Probabilistic Forecasting Using Machine Learning." Paper presented at the SPE Reservoir Simulation Conference, On-Demand, October 2021. doi: https://doi.org/10.2118/203941-MS Wang, Peixian, Li, Zunzhao, Wang, Xiaolin, Wang, Gang, Li, Mingyi, and Shizhe Yao. "Assisting Production Decision Technology in Gas Storage Operation Based on Digital Twin Technologies." Paper presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, October 2022. doi: https://doi.org/10.2118/210056-MS Wilson, Adam. "Project Tests High-Performance Cloud Computing for Reservoir Simulations." J Pet Technol 68 (2016): 57–58. doi: https://doi.org/10.2118/0716-0057-JPT

In this Mensan Musings Monday I talk about how LLM's usage in oil and gas. https://medium.com/data-science-at-microsoft/how-large-language-models-work-91c362f5b78f https://www.youtube.com/watch?v=5sLYAQS9sWQ https://aws.amazon.com/what-is/large-language-model/

https://www.oilfieldtechnology.com/hydraulic-fracturing/ https://jpt.spe.org/supercharging-fracs-experts-say-combining-technologies-is-the-path-to-optimization https://www.spe-events.org/hydraulicfracturing/industry-insights https://bing.com/search?q=latest+updates+hydraulic+fracturing+shale+zones https://www.sciencedirect.com/science/article/pii/S2352484721013640 Pandey, Vibhas. "Technology Focus: Hydraulic Fracturing Operations (June 2025)." J Pet Technol 77 (2025): 1–2. doi: https://doi.org/10.2118/0625-0015-JPT Mwakipunda, Grant Charles, Komba, Norga Alloyce, Ayimadu, Edwin Twum, and Long Yu. "Model Development for Brittleness Index Estimation and Depth Determination in Hydraulic Fracturing Operations in Shale Gas Reservoirs Using Machine Learning Algorithms." SPE J. (2025;): doi: https://doi.org/10.2118/228285-PA Khan, Abdul Muqtadir, Anderson, Christine, Prabhu, Rasika, Beletskaya, Anna, Kuan, Pearl, Danican, Samuel, and Farshid Mostowfi. "A Comprehensive Life Cycle Assessment of Hydraulic Fracturing." SPE J. 30 (2025): 2190–2202. doi: https://doi.org/10.2118/220480-PA Jacobs, Trent. "Is There a Hydraulic Fracturing ‘Blind Spot’ in Conventional Reservoirs?." J Pet Technol 77 (2025): 22–26. doi: https://doi.org/10.2118/0325-0022-JPT https://pennwellbooks.com/hydraulic-fracturing-fundamentals-and-advancements-book-miskimins-9781613997192/?srsltid=AfmBOoqghGUJKD7fxGMa08Qc3Y0zGMvavzvEHxS9mbi2uhzhNWPwZubL Guo, Tiankui, Zhang, Yuanhang, Chen, Ming, Liu, Yongzan, Qu, Zhanqing, Dai, Caili, Zhang, Bo, Hu, Zunpeng, and Linrui Xue. "True Triaxial Laboratory Study of the Strain Patterns Measured by Distributed Fiber Optics for Hydraulic Fracturing of Multilevel Horizontal Wells." SPE J. 30 (2025): 665–677. doi: https://doi.org/10.2118/223973-PA

Listen to Josh Hoeft, Project Manager from CANUSA EPC, to discuss importance of emissions reduction, OOOOb, and projects his team is working on. Check out his details below: https://www.linkedin.com/in/joshua-hoeft/ https://canusaepc.com/emissions-reduction/

https://jpt.spe.org/project-pursues-autonomous-waterflooding-operations-driven-by-ai https://wiki.aapg.org/Waterflooding Khataniar, Sanjoy Kumar, Biniwale, Shripad Suhas, Elfeel, Mohamed Ahmed, and Camilo Ernesto Tellez. "AI Innovations in Waterflood Management, The Path to Autonomous Operations." Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, Jakarta, Indonesia, October 2023. doi: https://doi.org/10.2118/215236-MS The Reservoir Engineering Aspects of Waterflooding By: H.R. “Hal” Warner, Jr. https://doi.org/10.2118/9781613994214 ISBN (print): 978-1-61399-421-4 ISBN (electronic): 978-1-61399-886-1 Publisher: Society of Petroleum Engineers Waterflooding By: G. Paul Willhite https://doi.org/10.2118/9781555630058 ISBN (print): 978-1-55563-005-8 ISBN (electronic): 978-1-61399-913-4 Publisher: Society of Petroleum Engineers Schechter, David. "Waterflooding and CO2 Injection in the Naturally Fractured Spraberry Trend Area." J Can Pet Technol 41 (2002): No Pagination Specified. doi: https://doi.org/10.2118/02-10-DAS Jia, De-li, Sun, Fu-chao, Sun, Yu-fei, Chen, Qiang, and Xiao-han Pei. "Case Study: Wireless Control and Data Acquisition of Waterflooding Operation Using Pressure Waves." Paper presented at the GOTECH, Dubai City, UAE, April 2025. doi: https://doi.org/10.2118/224538-MS Junput, N., and F. Srisuriyachai. "Effects of Salinity Contrast Between Formation Water and Injected Low Salinity Water on Low Salinity Waterflooding in Dolostone Formation." Paper presented at the International Petroleum Technology Conference, Kuala Lumpur, Malaysia, February 2025. doi: https://doi.org/10.2523/IPTC-24781-MS Xi, Chaodong, Gong, Wenbo, Lu, Xukang, Yang, Guang, Ju, Yang, and Moran Wang. "Wettability Evolution of Sandpacks with Clay Content during Long-Term Waterflooding: A Pore-Scale Contact Angle Characterization." SPE J. 30 (2025): 180–197. doi: https://doi.org/10.2118/223938-PA Utama, Afia Aizal, Benavides, Jose, Dindoruk, Birol, Onitiri, Maruufdeen, and Zeinab Zargar. "Case Study: Assessment of Predictive Capability of Reservoir Simulators for Waterfloods in Carbonates: How Realistic is My Simulation Model?." Paper presented at the SPE Improved Oil Recovery Conference, Tulsa, Oklahoma, USA, April 2024. doi: https://doi.org/10.2118/218200-MS Bandyopadhyay, P., Andel, D., Hampton, D. W., and L. D. Stone. "CO2 WAG Huff-N-Puff for Waterflooded Conventional Reservoirs: Design and Field Learnings from Deployment in the Permian Basin of West Texas." Paper presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, October 2023. doi: https://doi.org/10.2118/214786-MS Roueché, Jacqueline N., and C. Özgen Karacan. "Zone Identification and Oil Saturation Prediction in a Waterflooded Field: Residual Oil Zone, East Seminole Field, Texas, USA, Permian Basin." Paper presented at the SPE Improved Oil Recovery Conference, Tulsa, Oklahoma, USA, April 2018. doi: https://doi.org/10.2118/190170-MS Bhushan, Yatindra , Singh, Amit Pal, Kumar, M Suresh, Shankar, Pranay , and Manish Kumar Jha. "Streamline Simulation for Geological Model Validation and Waterflood Pattern Management in the FM-1 Layer of the Mangala Field, Barmer Basin, Rajasthan, India." Paper presented at the SPE Oil and Gas India Conference and Exhibition, Mumbai, India, March 2012. doi: https://doi.org/10.2118/155204-MS

https://www.opxai.com/ https://www.aveva.com/en/solutions/operations/production-optimization/ https://aws.amazon.com/energy-utilities/solutions/production-optimization/ https://xecta.com/ https://www.neuralix.ai/ https://www.bakerhughes.com/production/production-optimization https://www.slb.com/solutions/production-optimization Sharma, Akriti, Chonghyun Ahn, Alex, Park, Jihoon, Singh, Vikash, Rodriguez-Buno, Mariana, El-Bakry, Amr, Kwong, John, Garrison, Brett, and Tyler Gelowitz. "Intelligent Production Optimization Decisions: Prioritizing Production Optimization Through Machine Learning Aided Uplift Quantification." Paper presented at the ADIPEC, Abu Dhabi, UAE, October 2022. doi: https://doi.org/10.2118/211053-MS Almasov, Azad, Toktas, Omer Lutfu, and Mustafa Onur. "Life-Cycle Gradient-Based Production Optimization Including Well-Shutoff Option with Least-Squares Support Vector Regression." SPE J. 29 (2024): 5132–5150. doi: https://doi.org/10.2118/215110-PA Gutierrez, Fernando, Sarma, Pallav, Castano, Maria Guadalupe, Cao, Wen, Cuervo, Santiago, and Isabella Guzman. "Optimizing Capex/Opex with Ai Enabled Asset Integral Optimization." Paper presented at the SPE Advances in Integrated Reservoir Modelling and Field Development Conference and Exhibition, Abu Dhabi, UAE, June 2025. Alsaeedi, Ayesha, Alhammadi, Maryam, Alhammadi, Rashed, Albadi, Mohamed, Alzeyoudi, Mohamed, Alharethi, Fahed, Konkati, Sarath, Jani, Mansi, and Sameer Siddiqui. "Smart Alarm Management Framework for Gas Condensate Field Surveillance and Production Optimization." Paper presented at the ADIPEC, Abu Dhabi, UAE, November 2024. doi: https://doi.org/10.2118/222704-MS Sanz, P. Sanz, Muiños, P. Fontán, Álvarez, S. Gómez, and G. Vázquez González. "Benefits of Data Analytics Application in Production Optimization." Paper presented at the ISAVFT 20th International Conference on Multiphase Production Technology, Nice, France, June 2023. Gunawan, Ronald, Ismanto, Bambang S., Dyer, George R., and Edison Napitupulu. "Production Optimization of Tubing Restricted Wells: A Case History." Paper presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, October 1997. doi: https://doi.org/10.2118/38756-MS Asadov, Sardar, Karacaer, Caner, and Mustafa Onur. "Production Optimization of CO2 Huff-n-Puff Process in Unconventional Oil Reservoirs With Effects of Gas Relative Permeability Hysteresis, Geomechanics, and Capillary Pressure." SPE J. (2025;): doi: https://doi.org/10.2118/226222-PA Alkhawaher, A., Al Jishi, H., and S. Al-Aseef. "Advanced ESP Monitoring System for Performance and Production Optimization." Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2025. doi: https://doi.org/10.4043/35532-MS korish, M., Ibrahim, M., Tealdi, L., and A. Al Hanaee. "Real-Time Production Optimization: A Machine Learning Approach to Virtual Flow Metering." Paper presented at the GOTECH, Dubai City, UAE, April 2025. doi: https://doi.org/10.2118/224561-MS Toktas, Omer Lutfu, Nguyen, Quang Minh, and Mustafa Onur. "Comparison of Constrained Life Cycle Production Optimization Algorithms Based on Stochastic Simplex Approximate Gradients." SPE J. 30 (2025): 1413–1431. doi: https://doi.org/10.2118/220105-PA Pradhan, Yogashri, Xiong, Hongjie, Forrest, James, and Jane Zhu. "Additional Applications of Optimal Artificial Lift Strategies in the Permian Basin." Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, Texas, USA, July 2018. doi: https://doi.org/10.15530/URTEC-2018-2902293 Pradhan, Yogashri , and Hongjie Xiong. "Production Optimization in the Midland Basin Through Lateral Multiphase Flow Simulation." Paper presented at the SPE Liquids-Rich Basins Conference - North America, Midland, Texas, USA, September 2017. doi: https://doi.org/10.2118/187502-MS

I'm a Mensan, and I have musings about the oil and gas industry. Choose your own adventure for a deeper dive on artificial intelligence in oil and gas! https://jpt.spe.org/guest-editorial-2025-perspective-digital-transformation-in-oil-and-gas-from-evolution-to-shockwave https://www.dwenergygroup.com/ais-role-in-oil-and-gas-exploration/ https://www.ey.com/en_us/insights/oil-gas/maximizing-the-impact-of-ai-in-the-oil-and-gas-sector https://www.dnv.com/article/ai-spells-opportunity-and-manageable-risk-for-the-oil-and-gas-industry/ https://www.sciencedirect.com/science/article/pii/S2096249521000429 https://www.forbes.com/sites/davidblackmon/2024/05/07/how-will-ai-be-applied-to-oil--gas-one-company-has-some-answers/ https://www.sciencedirect.com/science/article/pii/S1876380424605240 https://onepetro.org/spe/general-information/1260/Artificial-intelligence?searchresult=1 Muhammad, Ressi B., Cheraghi, Yasaman, Alyaev, Sergey, Srivastava, Apoorv, and Reidar B. Bratvold. "Geosteering Robot Powered by Multiple Probabilistic Interpretation and Artificial Intelligence: Benchmarking Against Human Experts." SPE J. 30 (2025): 995–1009. doi: https://doi.org/10.2118/218444-PA Mkono, Christopher N., Chuanbo, Shen, Mulashani, Alvin K., Abelly, Elieneza N., Kasala, Erasto E., Shanghvi, Eric R., Emmanuely, Baraka L., and Thabiso Mokobodi. "Improved Reservoir Porosity Estimation Using an Enhanced Group Method of Data Handling with Differential Evolution Model and Explainable Artificial Intelligence." SPE J. 30 (2025): 1922–1940. doi: https://doi.org/10.2118/224438-PA Zhang, Liying, He, Jingyu, Chen, Lumeng, Mao, Zhiguo, and Bingbo Shi. "Multidimensional Adaptive Deep Clustering for Intelligent Diagenetic Facies Logging Recognition." SPE J. 30 (2025): 1614–1628. doi: https://doi.org/10.2118/224431-PA Gendron, Blake, Saeed, Qazi, and Syed Haider. "Leveraging Artificial Intelligence & Fixed, Continuous Methane Monitoring to Identify Fugitive Emissions Rapidly." Paper presented at the SPE Conference at Oman Petroleum & Energy Show, Muscat, Oman, May 2025. doi: https://doi.org/10.2118/224846-MS Montes, Abraham C., Ashok, Pradeepkumar, and Eric van Oort. "Review of Stuck Pipe Prediction Methods and Future Directions." SPE J. (2025;): doi: https://doi.org/10.2118/220725-PA Shahzad, Tufail, Wang, Peng, van Lith, Peter, and Jacques Hoffmans. "Artificial Intelligence (AI) and Knowledge-Based Engineering (KBE) in Ship Design: Bridging Tradition and Technology Through ACQUAINT." J Ship Prod Des 41 (2025): 1–13. doi: https://doi.org/10.5957/JSPD.01240002 Ramcharitar, Kamlesh. "Technology Focus: Data Science, Analytics, and Artificial Intelligence (January 2025)." J Pet Technol 77 (2025): 87–88. doi: https://doi.org/10.2118/0125-0087-JPT Carpenter, Chris. "Real-Time Well-Status Prediction Techniques Use AI for Accurate Rate Allocation." J Pet Technol 77 (2025): 89–91. doi: https://doi.org/10.2118/0125-0089-JPT Jacobs, Trent. "New Papers Show Automated, Autonomous Drilling Systems Headed in Right Direction." J Pet Technol 77 (2025): 4–6. doi: https://doi.org/10.2118/0425-0004-JPT Matheus, J., Tiwari, S., Szemat, W., and D. Amaya. "Revolutionizing Real-Time Drilling: Leveraging Large Language Models and Retrieval-Augmented Generation for Enhanced Operational Efficiency." Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2025. doi: https://doi.org/10.4043/35742-MS Elyas, Odai A., Al Hashim, Hassan W., and John R. Williams. "Tailoring Large Language Models for Drilling Applications: A Comparative Study of Retrieval-Augmented Generation and Fine-Tuning." Paper presented at the SPE Western Regional Meeting, Garden Grove, California, USA, April 2025. doi: https://doi.org/10.2118/224128-MS

Every Monday I will drop an episode on my thoughts on a technical topic. Sources below: Sources: https://www.sciencedirect.com/science/article/pii/S2095809922001357 https://publications.ieaghg.org/docs/General_Docs/Publications/Information_Sheets_for_CCS_2.pdf https://jpt.spe.org/twa/carbon-capture-and-storage-the-past-present-and-future https://energydigital.com/top10/top-10-leading-carbon-capture-companies https://energytracker.asia/top-carbon-capture-companies-in-2022/ Araujo, Yani Carolina, and Clara Palencia. "Rock-Fluid Characterization for CCS/CCUS: A Workflow to Improve Data Quality and Timeframe." Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, Buenos Aires, Argentina, December 2023. doi: https://doi.org/10.15530/urtec-2023-3970060 Wilson, Jessie, Rousseau, Joseph, Miller, Mimosa, and Harish Patel. "Where is the Industry Going with Offshore Carbon Capture, Storage, and Injection?." Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2022. doi: https://doi.org/10.4043/31978-MS Sofyan, M., Poitrenaud, H. M., Khoo, S., Chilaka, A., Dechelette, B., and E. V. Garcia. "Proposed Guidelines for Carbon Capture & Storage (CCS) Completions Design in Highly Depleted Reservoir." Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2024. doi: https://doi.org/10.4043/35200-MS Ameyaw, A. D., Ampomah, W., and A. Morgan. "Techno-Economic and Life Cycle Assessments of Integrated Carbon Capture and Storage in Blue Hydrogen Production." Paper presented at the SPE Western Regional Meeting, Garden Grove, California, USA, April 2025. doi: https://doi.org/10.2118/224206-MS Ahmed, Musa, Paker, Deniz M., Dindoruk, Birol, and Stephen Drylie. "Experimental Investigation of the Impact of CO2 on Interfacial Tension and Rock Properties in Application to CO2 Storage in Saline Aquifers." Paper presented at the SPE/AAPG/SEG Carbon, Capture, Utilization, and Storage Conference and Exhibition, Houston, Texas, USA, March 2025. doi: https://doi.org/10.15530/ccus-2025-4193861 Please note that this is not an exhaustive list, but rather a starter kit to understanding CCS/CCUS

Check out the cool technology Teren has to offer as Jake Opdahl (VP of Energy Solutions!) talks about his technical leadership, Teren's vision, and Terevue! https://www.teren4d.com/ https://www.teren4d.com/tools-papers/ Jake Opdahl Linkedin: https://www.linkedin.com/in/jakeopdahl/

I kickoff from the DW studio.

https://scholar.google.com/citations?user=LETUDtYAAAAJ&hl=en&oi=ao - Krishna's Google Scholar Padma Shri- India's civilian award in the arts, sciences, literature, etc.