... for diverse types of faults. geologist deep learning neural network petroleum geology artificial intelligence reservoir surveillance production monitoring production control machine learning artificial lift system geological subdiscipline economic geology dynamometer card beam pumping...

... as a scalable model for the petroleum industry, offering a proven framework for enhancing operational safety, reducing workplace incidents, and cultivating a robust HSE culture. hsse reporting human computer interaction performance indicator operational safety risk management artificial intelligence...

... in optimizing unconventional resource development and maximizing hydrocarbon recovery. sedimentary rock geologist clastic rock dataset geology mudrock rock type artificial intelligence well logging geochemistry log analysis reservoir geomechanics core analysis mudstone reservoir...

..., among others. In this paper, we evaluate a recent pilot project in Saudi Arabia, in which Artificial Intelligence (AI) empowered, continuous emissions monitoring (CEM) was deployed in a gas processing facility. The CEM technology captured several emissions events, both expected (corresponding...

... Accountability and Stakeholder Engagement: Transparent reporting of project progress and outcomes promotes accountability among stakeholders, encouraging them a sense of ownership and commitment. artificial intelligence project management data mining strategic planning and management real time system...

... subsurface storage hydraulic fracturing social responsibility completion installation and operations production chemistry oilfield chemistry application artificial intelligence enhanced recovery sustainable development climate change laser high-power laser perforation upstream application...

... drill pipe selection drilling operation drilling fluids and materials artificial intelligence drilling fluid management & disposal drillstring design machine learning abnormal pressure loss belief standpipe pressure pump pressure pressure drop washout belief alert statistical model pump...

... enhancing existing solutions and advancing the state of knowledge in the industry. deep learning neural network artificial intelligence artificial maintenance management agent natural language machine learning classification spare part amma validation dataset predictive maintenance...

... reservoir drillstem testing mineral optimization problem rock type flow in porous media condensate reservoir modeling & simulation acid artificial intelligence formation damage machine learning injection rate skin factor hydrochloric acid operation software permeability journal...

... strategies, ensuring long-term industry sustainability. drilling operation drilling equipment drilling fluids and materials risk management artificial intelligence drilling fluid management & disposal calculation rig rig sizing well delivery process rig selection rig calc tool pdo well...

... pathway to decarbonization in power generation. air emission hydrogen sustainability liquified natural gas (lng) social responsibility artificial intelligence natural language sustainable development climate change gas turbine hydrogen blending co emission reduction flow rate hydrogen...

..., and fostering a non-punitive safety culture that encourages open communication. hsse reporting artificial intelligence incident participant accident continuous improvement safety culture interview research method safety practice procedure data analysis information perception safety...

... and smart field operations. artificial intelligence reservoir surveillance production monitoring intervention production control artificial lift system real time system automated intermittent production aip liquid loading well uptime well condition implementation choke valve efficiency...

... engineers new insights into applying fine-tuned semantic vector models for real-time risk assessment in drilling operations. deep learning neural network artificial intelligence machine learning classification vector model operation fine-tuning violation semantic vector model deep learning...

..., and enhancing the overall economic value of Block 61's gas and condensate production. drillstem/well testing complex reservoir drillstem testing condensate reservoir asset and portfolio management artificial intelligence reservoir surveillance enhanced recovery production monitoring production...

... clastic rock geology deep learning saturation mudrock rock type artificial intelligence mudstone reservoir characterization machine learning water saturation prediction ensemble model feature selection technique custom ensemble model algorithm accuracy saturation prediction correlation...

... improvements belt walk for safety program withdrawal resulting to a 56% improvement in Total Recordable Case Frequency (TRCF) in the past five years. Moreover, PDO has added Artificial Intelligence (AI) functionalities in the SSC for enhanced hazard recognition and predictive safety analytics. This innovation...

... and development: A review . Environmental Technology & Innovation , 21 , 101186 . Elkatatny , S. ( 2021 ). Real-time prediction of rate of penetration while drilling complex lithologies using artificial intelligence techniques . Ain Shams Engineering Journal , 12 ( 1 ), 917 – 926...

... significantly improves the accuracy of MSE analysis, providing valuable insights for drilling optimization and operational efficiency. sedimentary rock geologist clastic rock geology drilling operation complex reservoir rock type artificial intelligence well logging log analysis reservoir...

.... sedimentary rock geologist clastic rock fracture characterization structural geology rock type sedimentary basin artificial intelligence ny structure reservoir characterization machine learning geological subdiscipline birba formation deposition fault prediction variance and ant-track south...