... operation drilling equipment log analysis reduction spiral-hole moderation enhance borehole-image interpretation vibration modeling simulation bha high-resolution lwd laterolog methodology and result TECHNICAL PAPERS | Bits and Bottomhole Assemblies Spiral-Hole Moderation Enhances Borehole...

... drawdown openhole packer compartment modeling geology flow control equipment control device help maximize life wellbore compartmentalize influx TECHNICAL PAPERS | Offshore Drilling and Completion Autonomous Inflow Control Devices Help Maximize Life of Wells in Deepwater West Africa Deepwater...

...Junjie Yang In recent years, advancements in artificial intelligence, particularly the revolutionary applications of deep-learning-based computer vision and large language models, have significantly affected the oil and gas industry. These technological developments have underscored the growing...

...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper URTeC 4042557, “Physics-Informed Deep-Learning Models for Improving Shale and Tight Forecast Scalability and Reliability,” by Kainan Wang, SPE, Lichi Deng, and Yuzhe Cai, SPE, Chevron, et...

... change to increase the annular clearance after performing extensive modeling. MPD and surface-parameter control can marginally help to control the problem. geology superlateral geologist study explore challenge drilling operation geological subdiscipline casing and cementing directional...

... network (RGNet) model. By reducing system complexity while maintaining fundamental physics, the model provides an efficient and accurate way to model, history-match, and predict unconventional wells. Compared with a full-physics model that takes from hours to days to run, the described model only takes...

... processes, modernize operations, and boost efficiency and production while meeting sustainability requirements. Data-set integration is becoming the key for comprehensively understanding reservoir behavior, which, in combination with the use of artificial intelligence and hybrid modeling for production...

... such as the drilling of new wells from surface or the deepening and completion of existing wells in order to produce these resources. 1 3 2024 1 3 2024 1 3 2024 1 3 2024 Copyright 2023, Society of Petroleum Engineers prospective resource contingent resource wp 2 modeling offshore...

... to determine if the capacity of a silty sedimentation could support the load of a pipeline end termination in the event of an earthquake - The results of a pilot test of the Marine Vibrator, an industry-leading seismic-survey technique - High-resolution modeling to infer if an increase in seismicity is caused...

... demands while mitigating environmental impact. Recommended additional reading at OnePetro: www.onepetro.org. SPE 214437 Fluid Modeling of Underground Hydrogen Storage in a Depleted Natural Gas Field by Markus Hays Nielsen, Whitson, et al. IPTC 22786 Particulate Wellbore Fluid-Strengthening Methodology...

... government north america government complex reservoir social responsibility artificial intelligence sustainability mineral sustainable development enrichment mechanism netl critical mineral accumulation expertise montross deposit rose ramaco river basin rees modeling metals & mining...

...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 210633, “Multimaterial Multiphysics Modeling Coupled With Post-Fracturing Production-Flow Simulations: Revamping Hydraulic Fracturing Design Strategy,” by Abdul Muqtadir Khan, SPE...

... automating their existing work flows. Having undergone extensive exploration and refinement, the debate between physics-based models and data-driven models has now found a harmonious middle ground. This convergence has paved the way for significant advancements in the realms of transfer learning and machine...

...Reza Garmeh The integration of machine learning and physics-based simulation modeling offers a comprehensive approach to optimizing unconventional development and addressing parent-/child-well depletion issues. By combining the predictive capabilities of machine-learning models with the insights...

.... _ Water affects almost every operation in the exploration and production industry. Until now, time-intensive laboratory tests or cumbersome third-party simulators were required to extract physicochemical properties. In the complete paper, a family of machine-learning-based reduced-order models (ROMs...

... and well productivity, however, cannot be overstated. So how well are we doing in fracture evaluation and modeling? Fracture evaluation can be regarded as an inverse problem, wherein the structural characteristics of a system are deduced based on input and output signals. Our objective is to ascertain...

...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 207941, “Underground Gas-Storage Process Optimization Using Integrated Subsurface Characterization, Dynamic Modeling, and Monitoring: A Case Study,” by Longxin Li, Yuan Zhou, and Limin...

... Laboratories, and Javad Sovizi, Baker Hughes, et al. The paper has not been peer reviewed. _ Because hydraulic fracture models include complex physics and uncertainties defined by many variables, the problem of calibrating modeling results with field responses is ill-posed. It is always possible to find...

... and reservoir heterogeneity regarding their fluid and rock properties. Recent technology advances in hardware and software have enabled the industry with tools that allow achieving full-field high-resolution simulation modeling; therefore, performing a realistic reservoir simulation is achievable. This might...

..., which will be the injector, indicating a fracture connecting the pair. Fervo’s modeling suggests they created a fracture network with the surface area needed to heat the 40,000–60,000 B/D of steam needed per well, which is in line with FORGE’s well capacity, Norbeck said. High-volume flows matter...