... dynamics, and geophysical modeling. fluid dynamics deep learning reservoir simulation flow in porous media neural network natural language machine learning large language model artificial intelligence geological subdiscipline geologist petroleum geology reservoir characterization loss...

... corrosion artificial intelligence well logging drilling fluid selection and formulation materials and corrosion log analysis pipeline corrosion machine learning flowline corrosion drilling fluid chemistry thickness ultrasonic multi-finger caliper external corrosion amplitude cbl-vdl operator...

.... Artificial Intelligence (AI) tools provide the solution that aids the experience user with faster realizations in a shorter period (days) for process that otherwise used to take months in the past. One of the most important processes of reservoir modelling is building a structural model which includes...

... installation and operations artificial intelligence reservoir surveillance piping design production monitoring subsea system production control pipeline calculation whp facility facility adequacy simulator platform commercial engineering software application information topside facility...

... intervention artificial intelligence well logging log analysis tractor reservoir contact gas water contact resistivity tubing tractor conveyed resistivity log open-hole section evaluate gas water contact accuracy horizontal well fluid contact cable Introduction Fluid contact monitoring...

... for similar environments in other regions, enhancing the accuracy and efficiency of reservoir evaluation and testing processes globally. sedimentary rock fluid dynamics geologist drillstem/well testing clastic rock reservoir geology drillstem testing rock type flow in porous media artificial...

... artificial intelligence well logging log analysis drilling data acquisition drilling measurement reservoir geomechanics machine learning geological subdiscipline real time system well placement boundary well path automation evaluation structural interpretation formation evaluation engineer...

... Abstract This study aims to streamline Artificial Intelligence (AI) initiatives and address the challenges faced by PT Pertamina Hulu Rokan (PHR) in scaling up and standardizing AI initiatives based on Data Science Platform Study conducted by PT Pertamina (Persero). By migrating standalone...

... applications of machine learning and generative AI in reservoir engineering. synthetic data fluid dynamics geologist geology waterflooding deep learning flow in porous media conformance improvement artificial intelligence enhanced recovery natural language chemical flooding methods reservoir...

... of safety and accountability. hsse standard artificial intelligence data mining inspection machine learning real time system vehicle compliance inspection system efficiency qr code implementation qr code-based vehicle inspection system inspection process fleet safety inspector vehicle...

... in achieving operational excellence and driving sustainable growth. drillstem/well testing complex reservoir drillstem testing optimization problem tight gas asset and portfolio management artificial intelligence reservoir surveillance production monitoring production control platform real...

... responsibility petroleum play type operation artificial intelligence heavy oil play sustainable development knowledge management real time system efficiency nkho north kuwait heavy oil collaboration innovation pilot project implementation blueprint operational efficiency recommendation framework...

... storage operations and contributing to the sustainable development of the oil and gas industry. sedimentary rock geologist clastic rock geology deep learning natural gas storage neural network rock type fuzzy logic production rate artificial intelligence reservoir geomechanics...

... task and presents the concept of data quality control in drilling industry, which is the necessary foundation in data preparation for further uses in analytics or machine learning. drilling fluid formulation drilling fluids and materials drilling fluid property artificial intelligence data...

... digital transformation within the oil and gas sector. forecast production forecasting modeling & simulation artificial intelligence reservoir surveillance production monitoring production control machine learning daleel petroleum production data ai-driven tool forecasting process...

... exhibit promising oil and gas production. sedimentary rock geologist clastic rock structural geology complex reservoir mudrock rock type artificial intelligence mudstone reservoir characterization machine learning geological subdiscipline fracture saturation lianggaoshan formation...

... in hard-to-reach areas, benefiting marine surveyors, construction industries, and environmental scientists. geologist geology deep learning neural network artificial intelligence imagery machine learning correction dataset bathymetry depth estimation remote sen satellite-derived...

..., the study presents a case for industry-wide adoption of Lean methodologies in tackling other common drilling challenges beyond stuck pipe incidents. geologist lean methodology geology drilling operation drilling fluids and materials artificial intelligence drilling fluid management...

.... By advancing the existing body of knowledge, the study provides a roadmap for best practices that could shape the future of digital transformation in the petroleum industry. sustainability liquified natural gas (lng) social responsibility artificial intelligence sustainable development digital...

.... The paper also provides insightful comparison of acoustic borehole imaging with other LWD technologies and see its utility to Evaluate a reservoir. geologist wellbore seismic borehole imaging geology wellbore design drilling operation directional drilling rock type artificial intelligence...