... scenarios, enabling regional and field assessment to benefit from the most up to date information and ensuring high-quality exploration and development decisions. structural geology deep learning reservoir characterization geologist artificial intelligence interpretation workflow machine...

... typically process 50 attributes per day. Much fruitful work has been done on research to obtain the first results appeared in the ERP system. deep learning machine learning artificial intelligence large language model declaration custom extraction model custom declaration application facility...

... machine learning cube well logging carbonate rock rock type reservoir characterization lithotype seismic data algorithm resolution deposit facies information interpretation prediction differentiation philippe rabiller rock typing and differentiated study fractured carbonate reservoir...

... is challenging when initial gas saturation is low, or wellbore pressure is close to the bubble-point pressure. This paper presents an approach for early gas detection based on machine learning analysis of passive acoustic data as part of PLT data. geology geologist inflow control device well logging...

... and inspection activities for geohazard risk assessment of offshore petroleum and gas infrastructure in the Caspian Sea. artificial intelligence oilfield geologist machine learning geology displacement risk management csk and snt1 interferometric measurement vertical displacement oil field...

... Abstract The proposed paper introduces a novel machine learning-based approach that incorporates advanced data pre- and post-processing techniques to significantly enhance automated lithology classification using well log data. Through rigorous testing of various machine learning algorithms...

... machine learning tensor porosity latent variable Introduction In oil and gas development of Sandstone Reservoir in the Turgay Basin Central South Kazakhstan, core samples are vital physical representations of subsurface reservoirs [ 1 – 4 ], providing essential data on rock types, pore...

... artificial intelligence geology flow in porous media rock type clastic rock reservoir simulation reservoir characterization workflow geological subdiscipline inversion iteration accuracy inversion workflow machine learning pressure data swrm vector cost function permeability reservoir...

... artificial intelligence machine learning hydraulic fracturing reservoir characterization azimuth aperture modeling porosity carbonate rock equation of state reverse fault geological subdiscipline permeability micro imaging survey sedimentary rock structural geology rock type information...

... reservoir characterization artificial intelligence sedimentary rock geology reservoir geomechanics carbonate reservoir rock type machine learning coefficient formation resistivity formation pore pressure geological subdiscipline prediction model pressure prediction model pore pressure...

... in geochemical reservoir assessment and providing valuable tools for improving field development and management practices in hydrocarbon basins. artificial intelligence geology reservoir characterization machine learning fraction enhanced reservoir characterization compound biomarker hydrocarbon...

.... natural language safeguard incident dataset information environment positive case application high-risk activity dashboard chatbot machine learning hypothesis classification model correlation analytic realization f1-score safety artificial intelligence large language model similarity...

... states government scenario asia government asset and portfolio management kazakhstan government machine learning technical conference artificial intelligence workflow upstream oil & gas reservoir simulation evolutionary algorithm placement optimization petroleum engineer infill well...

... reservoir characterization migration geologist artificial intelligence prediction society geology machine learning gas exploration vector foundation development mcmechan petroleum engineer correspond inversion spatial resolution algorithm Introduction Technologies for processing...

... geologist asia government inversion machine learning continuous wavelet transform assessment dataset gamma ray value azerbaijan government estimation resolution petroleum engineer functional convolutional neural network accuracy trajectory information Introduction and Problem Statement...

... to a reduction in modeling result accuracy. In recent years, artificial intelligence or machine learning has been the most popular technology to unlock the full potential of data across industries. We need novel methodologies to integrate traditional physics-based modeling with state-of-the-art machine learning...

... a considerable amount of time. This study delves into the utilization of machine learning methods as a promising solution for predicting, mitigating, and managing reservoir damage. The study begins with a discussion of the various elements that lead to the occurrence of formation damage, including rock-fluid...

... Retrospective Test (MRT) machine learning technology on production enhancement. MRT technology relies on mathematical algorithms for annualizing long-term records of bottomhole pressure and surface rates from a group of wells through multiwell deconvolution. It requires historical data of bottomhole pressures...

... importance, often constituting a crucial and time-intensive procedure. The initial phase of elastic log conditioning in petrophysics and rock physics studies, a tedious manual process, is pivotal. However, the advent of the machine learning technology has revolutionized this task, automating the laborious...

... optimization algorithm geosteering saturation reservoir drilling data acquisition machine learning hyperparameter netherlands government porosity correction reinforcement learning real-time ai geosteering real time system synthetic dataset rl algorithm experiment Introduction Geosteering...