Results 91 to 100 of about 25,400 (259)
Intelligent prediction and integral analysis of shale oil and gas sweet spots
Petroleum Science, 2018 Shale reservoirs are characterized by low porosity and strong anisotropy. Conventional geophysical methods are far from perfect when it comes to the prediction of shale sweet spot locations, and even less reliable when attempting to delineate ...
Ke-Ran Qian +3 more
doaj +1 more source
, 2022 Technical memorandum no. 67-6.Includes charts.These technical memoranda pertain to work performed at Anvil Points.The United States Bureau of Mines facility at Anvil Points, near Rifle, Colorado, was reactivated starting in May 1964 and was operated ...
core
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah +2 more
wiley +1 more source
Recent advancements and emerging challenges in deep underground engineering
Deep Underground Science and Engineering, EarlyView.
Jianguo Wang, Chunfai Leung
wiley +1 more source
Nordgren PINNs to VQE: Advancing Hydraulic Fracturing Simulations in Shale Reservoirs
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT This study advances hydraulic fracturing simulations in shale reservoirs using two computational paradigms, Physics‐Informed Neural Networks (PINNs) and the Variational Quantum Eigensolver (VQE). PINNs were employed to solve Nordgren's equation, which governs fracture width evolution, by embedding physical laws into the neural network ...
Dennis Delali Kwesi Wayo +7 more
wiley +1 more source
Petroleum Science, 2019 The brittleness prediction of shale formations is of interest to researchers nowadays. Conventional methods of brittleness prediction are usually based on isotropic models while shale is anisotropic.
Ke-Ran Qian +5 more
doaj +1 more source
Shale oil technical advisory committee, minutes of the tenth regular meeting
, 2022 Includes charts.These minutes were recorded at the Technical Advisory Committee meetings and include agenda, budget, and technical reports about work performed at Anvil Points.A Technical Advisory Committee was formed by Socony Mobil, ESSO Research and ...
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Hydrogenation of Estonian oil shale and shale oil
, 2022 Digiteeritud Euroopa Regionaalarengu Fondi rahastusel, projekti "Eesti teadus- ja õppekirjandus" (2014-2020.12.03.21-0848) raames.
openaire +1 more source
Who gets redeployed? Inventor characteristics and resource redeployment decisions
Strategic Management Journal, EarlyView.Abstract Research Summary While the literature highlights the benefits of internally redeploying resources, there is less empirical guidance on which resources are most likely to be redeployed. We examine the relationship between inventor characteristics and redeployment decisions, motivated by the tension between costs and benefits of keeping a ...
Kyungsoo Kim, Isin Guler, Samina Karim
wiley +1 more source
Shiyou shiyan dizhiThe identification, classification, and integration of microfacies characteristics of carbonate-rich shale in the Dongying Sag of the Bohai Bay Basin are fundamental for understanding the sedimentary origin and spatial structure of related sediments ...
Weiqing WANG +4 more
doaj +1 more source