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Keywords: machine learning
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Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (02): 24–33.
Paper Number: SPE-0225-0024-JPT
Published: 01 February 2025
...Jennifer Pallanich _ Technology that can analyze visual data with unprecedented speed and accuracy is emerging as a powerful and potentially transformational tool for the industry. Artificial intelligence (AI), machine learning, and computer vision are a trio of technologies that, when combined...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (02): 56–58.
Paper Number: SPE-0225-0056-JPT
Published: 01 February 2025
...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 24509, “Real-Time Stick/Slip Mitigation Using Combined Machine-Learning and Physics-Based Techniques,” by Hana Yahia, SPE, Mines Paris Tech and Helmerich and Payne, and Thomas Romary...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 52–54.
Paper Number: SPE-0125-0052-JPT
Published: 01 January 2025
...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 218441, “Data-Driven Predictions of CO 2 EOR Numerical Studies Using Machine Learning in an Open-Source Framework,” by Jorge R. Liguizaca, SPE, University of Bergen and Escuela...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 55–58.
Paper Number: SPE-0125-0055-JPT
Published: 01 January 2025
...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 221057, “Physics-Informed Machine Learning for Reservoir-Connectivity Identification and Production Forecasting for CO 2 EOR,” by Masahiro Nagao, SPE, and Akhil Datta-Gupta, SPE, Texas...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 59–62.
Paper Number: SPE-0125-0059-JPT
Published: 01 January 2025
... expressions based on the collected data set. Methodology This work is based on the classic machine-learning (ML) project-development scheme. The schematic of the research is presented in Fig. 1. The research includes four main stages—data input, preprocessing, model construction, and evaluation. 1 1...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 89–91.
Paper Number: SPE-0125-0089-JPT
Published: 01 January 2025
... used to estimate and predict well status using a combination of surface and subsurface parameters in offshore areas. Four machine-learning (ML) algorithms were used to estimate and then predict well-operating status. Parameters Affecting Well-Operating Status The accuracy of predicting well-operating...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 68–70.
Paper Number: SPE-0125-0068-JPT
Published: 01 January 2025
... dynamics flow in porous media reservoir simulation geologist workflow geology artificial intelligence production control flow unit enhanced recovery machine learning asgard mature fields rocm reservoir surveillance reservoir characterization optimize infill mid sand geological trend...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (12): 12–13.
Paper Number: SPE-1224-0012-JPT
Published: 01 December 2024
... with the permission of the author. Contact the author for permission to use material from this document. deep learning machine learning shane mcardle implementing ai ai development heavy-asset industry virtue new technology artificial intelligence kongsberg digital precision prediction natural...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (12): 18–24.
Paper Number: SPE-1224-0018-JPT
Published: 01 December 2024
.... Large operators moved quickly to hire data scientists, form analytics teams, and partner with emerging software providers offering machine learning platforms with sleek, user-friendly interfaces. JPT spotlighted startups developing chatbots and “cognitive” programs designed to help petroleum engineers...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (11): 16–20.
Paper Number: SPE-1124-0016-JPT
Published: 01 November 2024
.... social responsibility machine learning sustainability sustainable development computer quantum ecosystem computing quantum computing quantum mechanics quantum intelligence global quantum intelligence artificial intelligence oil and ga industry algorithm transformation quantum computer...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (11): 72–73.
Paper Number: SPE-1124-0072-JPT
Published: 01 November 2024
...Chris Carpenter This year’s primary selections for the Drilling and Completion Fluids Technology Focus reflect now-well-established industrywide emphases on machine learning (ML), automation, and the achievement of successful drilling of CO 2 storage wells. Enhanced methods of modeling...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (11): 74–76.
Paper Number: SPE-1124-0074-JPT
Published: 01 November 2024
...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 35433, “Novel Machine-Learning Approach for Predicting the Gel Strength of the Drilling Fluid While Drilling,” by Ahmed Gowida, SPE, and Salaheldin Elkatatny, SPE, King Fahd University...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (10): 74–76.
Paper Number: SPE-1024-0074-JPT
Published: 01 October 2024
...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 35341, “Enhancing Energy Efficiency and Operability in Offshore Drilling Operations: Validation and Benefits of a Machine-Learning-Based Vessel-Motion-Prediction Application...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (10): 88–89.
Paper Number: SPE-1024-0088-JPT
Published: 01 October 2024
... efficiency and expedited turnaround times. Organizations have allocated resources to develop a big-data-driven, multidisciplinary platform that leverages artificial intelligence and machine learning to enhance rapid and robust decision-making in asset management and risk mitigation. Integrated data...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (10): 30–40.
Paper Number: SPE-1024-0030-JPT
Published: 01 October 2024
...Jennifer Pallanich _ In the quest to cost-effectively boost production, operators are experimenting with artificial lift methods and how digital tech can boost its performance. Artificial lift experts are increasingly adding artificial intelligence (AI), machine learning (ML), and autonomous...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (10): 90–93.
Paper Number: SPE-1024-0090-JPT
Published: 01 October 2024
... of subsurface uncertainty. Introduction In the realm of unconventional asset development, scalable forecasting is a key component in forecast reliability. In recent years, data-driven machine-learning models and workflows have emerged as potent tools for predicting well performance, particularly in scenarios...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (10): 65–66.
Paper Number: SPE-1024-0065-JPT
Published: 01 October 2024
...Swathika Jayakumar The evolution of computational technology, coupled with the ability to digitize hardware and engage with end users, has enabled machine learning to enhance operational efficiency, safety, and cost-effectiveness in offshore oil and gas development. A key takeaway from recent...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (10): 98–100.
Paper Number: SPE-1024-0098-JPT
Published: 01 October 2024
...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 215244, “Automated Production-Enhancement-Candidates Screening Powered by Machine Learning Unlocks Untapped Potential in Matured Oil Fields: A Case Study,” by Nusheena M. Khair, SPE, M...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (09): 80–81.
Paper Number: SPE-0924-0080-JPT
Published: 01 September 2024
...-intelligence (AI) -driven analytics. These systems automate data ingestion and use machine-learning algorithms to sift through massive data sets, identifying anomalies and prioritizing actionable insights. By automating routine surveillance tasks, engineers can focus on critical actions that deliver...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (09): 10–14.
Paper Number: SPE-0924-0010-JPT
Published: 01 September 2024
..., is an associate professor at Texas A&M University who has published two books and developed nine technologies related to machine learning and electromagnetic sensing for energy and earth resource exploration. In 2018, he received the US Department of Energy Early Career Award, and in 2020 he was honored with four...
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