...-driven Artificial Intelligence Augmented Intelligence strategy with LLMs to facilitate the exploration of topics for causal machine learning to understand choices under considerations. State-of-the-art LLMs are finetuned, evaluated, benchmarked, and put into practical use to understand and monitor...

... drilling operation log analysis artificial intelligence reservoir characterization west virginia university equation wellbore stability west virginia drilling optimization well morgantown west virginia well logging geological subdiscipline geomechanical modeling-a case study strength mip 1...

... detection early kick artificial intelligence samuel ekld operation real time system wellbore realtime application technology conference exhibition zhang early kick detection detection algorithm Background In the oil and gas industry, early detection of kicks and losses during drilling...

... understanding of the current state of optimized drilling fluids for geothermal drilling, enabling informed decision-making and strategic planning to maximize the potential of geothermal resources. drilling geothermal drilling circulation plate tectonics artificial intelligence efficiency operation...

... simulation flow in porous media geochemistry chemical flooding methods social responsibility climate change artificial intelligence sandstone enhanced recovery machine learning sustainable development geological subdiscipline mineral dissolution injection precipitation concentration reaction...

... better decision mudrock artificial intelligence production control scenario application predictor early development stage shale gas production monitoring prediction reservoir characterization development stage bayesian approach superiority Background Bayesian Modeling Bayesian...

... development, ultimately leading to more cost-effective and profitable projects. geologist geology sedimentary rock clastic rock upstream oil & gas unconventional resource economics united states government mudrock complex reservoir artificial intelligence shale oil production monitoring...

... treatment design. clastic rock drilling operation upstream oil & gas rock type united states government artificial intelligence mudstone mudrock petroleum play type reservoir geomechanics geologist geology complex reservoir shale gas play log analysis machine learning mip-3h...

... upstream oil & gas geology fracture equation of state petroleum play type artificial intelligence machine learning presented reservoir simulation flow in porous media north america government hydraulic fracturing modeling & simulation reservoir geomechanics permeability fracture...

... in this study with their associated hyper parameters. upstream oil & gas sedimentary rock unconventional play clastic rock united states government mudrock petroleum play type complex reservoir hydraulic fracturing fracturing materials fracturing fluid rock type artificial intelligence...

... feasibility in field case study. upstream oil & gas geologist fracture geology reservoir geomechanics realization hydraulic fracturing machine learning united states government artificial intelligence geological subdiscipline fracture characterization complex reservoir reservoir...

... sedimentary rock unconventional play fracture rock type artificial intelligence geologist fracture characterization complex reservoir hydraulic fracturing reservoir geomechanics upstream oil & gas geology mineral shale gas play mudstone gohfer marcellus shale geological...

.... SimCCS 3.0 is available for public use via GitHub. midstream oil & gas subsurface storage climate change diameter consideration scenario optimization problem co 2 evolution modeling cc infrastructure united states government artificial intelligence simccs 3 pipeline diameter...

... based method to predict cement fatigue failure under cyclic changing pressure and temperature. The result will be instructive for the cement design and wellbore operation optimization. casing and cementing fatigue failure prediction kernel machine learning artificial intelligence cement...

... and service companies. unconventional resource economics upstream oil & gas complex reservoir artificial intelligence structural geology shale oil log analysis shale gas well logging oil shale ssqi quality index society porosity brittleness energy economics hydrocarbon organic shale...

... Abstract The application of Artificial Intelligence for planning has received increased attention in the energy industry in the past few years, particularly for the increased production efficiency requirements and environmental standards. The objective of this paper is to show the successful...

... shale gas complex reservoir fracturing fluid directional drilling oil shale energy economics core analysis artificial intelligence hydraulic fracturing drilling operation structural geology stage length completion lateral length stimulation horizontal well wellbore design upstream oil...

... provides well operators with another option to complete their objectives, especially when tubing-based methods often take many days or weeks to mobilize at substantial cost to operators. downhole intervention artificial intelligence well logging log analysis completion installation and operations...

... actual poisson independent data geomechanical property well 1 well 2 gradient machine learning artificial intelligence neural network model neutron porosity brittleness poisson ratio society of petroleum engineers Introduction In selecting subsurface intervals as candidates...

..., such as phase compositions and densities. Compared to bulk phase diffusivity, the effective diffusion coefficient in a porous shale rock is reduce by 10 2 to 10 4 times as porosity decreases from 0.1 to 0.03. Artificial Intelligence complex reservoir liquid phase co 2 condensate enhanced recovery...