... value. inflow performance well intervention fluid dynamics completion installation and operations artificial intelligence flow in porous media production monitoring well performance production control production enhancement downhole intervention formation damage machine learning...

...) in Yokogawa DCS system. Artificial intelligence technique to the data generated by simulators has been introducing in optimization effort as part of this study. The model utilizes ambient temperature and low-pressure production trap (LPPT) and stabilizer pressure as input variables while the output is liquid...

... analysis into pipeline design and construction processes, and the need for improvement in inspection, monitoring, and integrated pipeline – geohazard interaction analysis. geologist piping simulation geology reservoir surveillance artificial intelligence piping design data mining production...

... type climate change sedimentary rock geology artificial intelligence air emission mineral co2 storage katterbauer lower wilcox reservoir aquifer storage complex co2 storage kemper county characteristic driven carbon storage well connectivity coal seam machine learning similarity...

... production control interpretation fraction production monitoring kev detection reservoir surveillance multiphase flowmeter substance multiphase flow meter enabling sand detection matrix comparison offshore technology conference information artificial intelligence attenuation algorithm pipe...

... collection, including surveying, mapping, and inspection; and to enhance project planning, monitoring, and quality control. Final products generated will provide an enhanced visualization for easy analysis and view of the project. artificial intelligence calibration risk management visualization...

.... structural geology geologist gas injection method waterflooding neural network artificial intelligence reservoir characterization multi-objective optimization endpoint accuracy optimization problem enhanced recovery co 2 optimization algorithm numerical simulator optimization climate change...

... artificial intelligence neural network deep learning climate change utilizing machine learning power stacked generalization random forest saline aquifer offshore technology conference machine learning decision tree carbon dioxide trapping geology prediction trapping index trapping index...

... containment and operational efficiency gains while drilling, thereby minimizing NPT and enhancing drilling optimization. geology geologist pipe artificial intelligence wellbore design accident torque offshore technology conference wellbore integrity paper digital twin deviation real time...

... of the closed-loop (CLCO) and Stage 3 which is the real-time optimization (RTO). A CL cycle is defined the time that the simulation model is valid (typically from six months to one year) but it can be user defined for each specific case ( Fig. 2 ). reservoir simulation artificial intelligence...

... issues. The predictive analytics algorithm becomes a valuable tool for anticipating freespan concerns, ultimately contributing to more efficient and informed decision-making processes in the realm of pipeline maintenance and inspection. data mining prediction intervention artificial intelligence...

... of rupture pressure is the most obvious among the six important geomechanical factors affecting the occurrence of well leakage. geologist artificial intelligence optimization problem geology reservoir geomechanics algorithm machine learning leakage prediction accuracy particle swarm algorithm...

.... The effectiveness of increasing the initial pipeline pressure through an initial partial pressurization with dry air or nitrogen. Constraints that may occur due to repurposing an existing hydrocarbon pipeline as compared to a new greenfield pipeline. artificial intelligence pipeline corrosion riser...

... to improve performance and drive innovation by uniting planning and operations and bringing together advanced technologies such as artificial intelligence and data analytics whereas maintaining the strong traditional model -based approach as the basis of the solution. Abstract The oil and gas industry...

... environmental impact. detection accuracy neural network emission deep learning machine learning footage deep learning image processing model estimation architecture algorithm video footage deployment methane emission artificial intelligence leak leak detection tdlp-ng Introduction...

... artificial intelligence geological subdiscipline bacteria sustainability storage social responsibility journal machine learning hydrogen microorganism geologist deep learning subsurface storage sustainable development climate change katterbauer mckee formation cavern investigation sequence...

... by the high-frequency mud telemetry technology which transmits the signal 200% faster than the average technology available in the industry. lwd drilling equipment optimization problem logging while drilling well logging bit design drilling data acquisition rop requirement artificial...

... or notches grow until material fractures. When the number of stress range and cycles exceeds the limit fatigue strength of the material, then, structural elements may fail due to "structural fatigue". Introduction artificial intelligence module offshore technology conference subsea system topside...

... the need to pull tubing, presents a major advance in well integrity evaluation that further improves safety, efficiency and cost. geology eccentricity neural network machine learning casing and cementing artificial intelligence module estimation casing-formation annulus interface qinshan...

... and gas industry. choke valve drillstem/well testing artificial intelligence drillstem testing completion equipment reservoir surveillance machine learning application information dataset production control algorithm bk-s3-n limitation accuracy incident prediction flow coefficient...