... is transformed into a robust reservoir properties knowledge model, enhancing reserve estimation accuracy, optimizing field development, and significantly reducing costs and data-related inefficiencies. coreai machine learning artificial intelligence subsurface evaluation unlocking new opportunity...

... flooding methods geological subdiscipline geology subsurface storage artificial intelligence sustainability drillstem testing modeling & simulation enhanced recovery production control climate change sustainable development reservoir characterization aquifer strength geologist reservoir...

.... Introduction sustainability social responsibility air emission artificial intelligence machine learning sustainable development compressor back pressure control valve climate change recycle valve valve data mining consumption operation energy consumption chevron thailand exploration...

... opportunity matrix geologist engineering task ml solution artificial intelligence production optimisation model register core production engineering task operation interdependency application geology production engineering task production system implementation Introduction The oil...

... optimization. geologist directional drilling geology reservoir navigation geosteering artificial intelligence drilling operation stratigraphy apparent dip platform trajectory integrating geosteering technique well logging reservoir characterization right side correlation rop correlation...

... threshold spe annual technical conference compressor anomaly detection category artificial intelligence shutdown sensor data engineer bangkok shutdown event visualization tool machine learning technique Literature review Anomaly detection is a technique to identify an observation which...

... values, as compared to the mixed-wet, implying that water needs higher pressure to bulge into the oil in the pore spaces. sedimentary rock geology geologist rock type contact angle carbonate rock flow in porous media fluid dynamics waterflooding artificial intelligence pore space...

... making and a faster response time, by applying edge, cloud computing and Artificial Intelligence/Machine Learning (AI/ML) to monitor wells and assets in an Integrated Asset Monitoring Center (MIA). The digital journey implemented has shown remarkable results improving people efficiency in 93...

... clastic rock rock type modeling & simulation sand control size distribution sandstone sand/solids control geology artificial intelligence reservoir geomechanics machine learning wellbore formation sand coefficient particle size distribution sand particle sand production prediction...

... the environmental impact of flaring activities in the oil and gas industry. climate change air emission relative error viir nightfire detection frequency average temperature petroleum development oman pdo accuracy flaring world bank artificial intelligence visible infrared imaging radiometer suite...

... potential by deploying logging tools downhole may be challenging in some fields, especially those with highly deviated or horizontal wells. A novel BCO identification process discussed in this paper leverages Machine Learning (ML) model within an Artificial Intelligence (AI) framework that integrates...

... geologist artificial intelligence pipe incident drill state wellbore integrity drill string early sign wellbore design incident algorithm pipe event drilling operation machine learning hook load value change trend detection module indicator false alarm rate time sery pipe sign key seat...

... storage co 2 structural geology artificial intelligence geologist reservoir characterization chemical flooding methods injection simulation geological subdiscipline temperature change injection well monitoring tiltmeter pressure propagation reservoir geomechanics climate change...

... reservoir characterization artificial intelligence climate change reservoir reservoir geomechanics deformation numerical forward model pressure variation inversion deformation data storage equation geertsma forward model constraint pressure distribution international journal observation...

... of several tens of millions of dollars. Our findings highlight the value of robust geological modelling and seek to build an economic case for further data acquisition to reduce uncertainty. fluid dynamics geologist natural gas storage artificial intelligence fault model reservoir characterization...

... enhanced recovery oil recovery incremental oil recovery relative error climate change interaction feature interaction optimization rf proxy model rock type chemical flooding methods proxy model model output explanation numerical model artificial intelligence machine learning reservoir...

... carbonate rock carbonate reservoir geologist deep learning geology complex reservoir neural network artificial intelligence production logging downhole sensor horizontal well production control production profile sedimentary rock temperature profile drilling operation rock type reservoir...

... industry and academic research, specifically in the fields of data science, artificial intelligence, and facilities and operations. complex reservoir sensor data geologist geology artificial intelligence reservoir characterization application production control causality analysis hot oil...

... sandstone subsea system objective function structural geology modeling & simulation production monitoring clastic rock asset and portfolio management oil production water injection vrr value workflow producer well proxy model platform artificial intelligence production control ipsm...

... methods of differential flow and flow-back fingerprint. well control detection algorithm presented artificial intelligence drilling conference annular pressure drilling machine learning exhibition kick detection threshold false alarm displacement flowback fingerprint iadc spe drilling...