... the feasibility of the proposed approach. Overall, the integration of domain knowledge into deep learning not only improves the generalise ability of the pure data-driven model but also provides insightful physical interpretations for engineers. waterflooding simulator geologist neural network geology...

... mineralogy segmentation. sedimentary rock deep learning sandstone geology machine learning rock type clastic rock reservoir characterization mineral tectosilicate geologist neural network artificial intelligence segmentation dataset quartz overgrowth training data pore space quartz...

... including corrosion and well integrity management for the asset. sedimentary rock geology cement and bond evaluation enhanced recovery geologist waterflooding reservoir surveillance production monitoring integrity wara formation clastic rock rock type well logging fiber glass saturation...

.... The integration of geochemical factors is crucial for optimizing polymer flooding in the Middle East’s harsh carbonate reservoir conditions, enhancing regional oil recovery. sedimentary rock rock type geology carbonate rock geologist modeling & simulation geological subdiscipline polymer...

..., the article discusses the integration of GANs into the digital rock concept, highlighting their role in improving predictive models and supporting decision-making in the oil and gas industry's resource extraction and production strategies. sedimentary rock geology geologist rock type reservoir...

..., and cost-effective alternative to the conventional well-testing analysis. geologist geology artificial intelligence completion installation and operations thickness drillstem testing permeability total skin factor onepetro machine learning input data formation damage net pay thickness...

... geology completion installation and operations wax inhibition wax remediation cavitation erosion bpm sustainable scale removal blockage obstruction hydrate inhibition operation paraffin remediation pressure fluctuation pump rate accessibility asphaltene remediation production chemistry...

... and remote sensing. geologist artificial intelligence internet of things canopy air emission sensor california detection limit methane concentration machine learning methane emission experiment system design concentration signal geology climate change real time system methane leak...

... distance function geology dataset mae neighbor testing dataset linear regression random forest algorithm casing opportunity analysis petroleum engineer correlation coefficient multi-output regression Introduction As the well productivity is reaching or on the time for declination, proper...

.... This study provides fundamental insight into the change in flow behavior at heterogeneous regions, which could be translated into saline aquifer conditions. The proposed workflow in this study could be extended further to analyze complex heterogeneous storage systems at different flow regimes. geology...

.... geologist machine learning geology heat output geothermal system prediction future temperature algorithm reservoir correlation decision tree accuracy artificial intelligence random forest future heat output salehi petroleum engineer dataset geothermal reservoir system utilizing machine...

... agents. This lays a theoretical foundation for nanofluids flooding technology. geology chemical flooding methods analysis result waterflooding alp permeability nanofluid mineral water flooding absorption peak geologist enhanced recovery concentration dispersion system injection oil...

... for optimal salinity and ionic ranges, potentially reducing time-consuming experiments. sedimentary rock geology carbonate rock geologist enhanced recovery concentration artificial intelligence calcium carbonate smart water flooding wettability alteration rock type contact angle wettability...

... geologist graphical method production control geology enhanced recovery reservoir characterization warmback injection injection profile bhit injection period injection temperature production logging production monitoring completion monitoring systems/intelligent wells warmback signal...

.... These findings are crucial for understanding polymer behavior in different reservoir conditions, providing valuable insights for optimizing enhanced oil recovery processes. geologist fluid dynamics sedimentary rock geology flow in porous media polymer rock type concentration chemical flooding...

... monitoring. clastic rock geologist volcanology geology sedimentary rock mudrock integrity mudstone storage brazilian testing experimental investigation rock type reservoir geomechanics deformation co 2 fracture subsurface storage enhanced recovery climate change petroleum play type...

... of the implementation of ISCG technology for clean hydrogen production directly from heavy oil reservoirs. steam-assisted gravity drainage geologist complex reservoir geology sagd petroleum play type unconventional play reaction enhanced recovery reservoir sand gasification experiment oxidation...

... fluid dynamics geology flow in porous media reservoir characterization efficiency characteristic sweep efficiency throat radius correlation unimodal type oil recovery pore throat variation oil recovery potential information fut thin-section photomicrograph Introduction...

.... sedimentary rock geologist waterflooding artificial intelligence reservoir geomechanics orientation interpretation clastic rock neural network log analysis spe-218881-ms geology rock type enhanced recovery geological subdiscipline western desert computer vision fmi data deep learning well...

... to history match a reservoir simulation model and reduce uncertainty while tracking the spatial evolution of stored carbon dioxide. dataset modeling & simulation machine learning sedimentary rock geology artificial intelligence geological subdiscipline young land uplift clastic rock rock...