... losses data were then integrated with the seismic information to characterize the depth of interest and the aquifer properties contributing to fluid invasion. Pressure data and fluid samples from the aquifer were also analyzed to investigate the issue. GCC and spectral decomposition attributes...

... intelligence information language model case study classification Introduction The oil and gas industry has been undergoing a paradigm shift with the advent of digital transformation. The integration of artificial intelligence (AI), cloud computing, and automation is revolutionizing traditional...

... computational costs, reliance on static historical data, and expert-driven experience, which limits their ability to address the dynamic evolution of reservoir properties and nonlinear interactions in heterogeneous fluids. To tackle these issues, this study introduces a physics-informed machine learning proxy...

... artificial intelligence production data aquifer property geology reservoir characterization permeability field geologist reservoir simulation matching reservoir model automatic history matching porosity field society information grid block objective function gradient model prediction...

... Abstract The reservoir model-based forecast uncertainty reduction requires the integration of multiple sources of information. Among them, production data are of great value. For this reason, a methodology able to manage them within the history matching process to improve the model calibration...

... of such checks. stationarity reservoir characterization stationarity hypothesis consideration netherlands government geostatistical simulation information upstream oil & gas modeling variance interpolation geological modeling dataset applicability europe government realization...

... production monitoring pressure transient analysis workflow drillstem/well testing asia government flow in porous media uae government interpretation communication well performance reservoir characterization fracture corridor permeability information field buhasa displacement exhibition...

... service directional drilling inclination real time system new generation thickness china government information rotary steerable system reservoir drilling equipment trajectory channel sand reservoir development driven resistivity hybrid rotary steerable system objective Introduction...

... reservoir geological information information algorithm Introduction Carbonate reservoir is an important type of reservoir containing more than half of the world's petroleum reserve. Unlike sandstone reservoir, carbonate reservoir has complex pore network system because of diverse sedimentary...

... information asia government uae government gravity drainage fractured reservoir field optimize gogd recovery reservoir enhanced recovery thickness offtake fluid monitoring carbonate reservoir recovery mechanism sultanate Introduction Gas oil Gravity Drainage (GOGD) is a highly efficient...

... information. The PNL data were processed and interpreted independently, without utilizing any input from the OH log data and without the support of fluid analysis and mudlog information. A criterion based on comparison and correlation between fluid volumes and saturation defined by the PNL and the fluid...

... vertical communication as a function of geological facies and textural aspects from borehole images, geological information on fractures/faults, and surfaces. Interpretation involves identification of flow-units based on available logs, followed by identification of flow regimes (spherical/radial...

... production control intervention terminal example reservoir surveillance production monitoring assessment completion directional drilling sand control information pipeline qualitative assessment drawdown detection new downhole sand production measurement frac port perforation Introduction...

... crm prediction physics informed machine learning xgboost generalized linear model schmidhuber neural network information lstm complexity capacitance resistance model Introduction Machine Learning (ML) techniques are used for production forecast tasks more and more often. Hence...

... demonstrate how the network can be trained using dynamic coarse geological properties at various resolutions. The findings imply that even when coarse geological features and with limited resolution, the super-resolution reconstructions are able to recreate missing information that is close to the ground...

... acquisition real time system saturation modeling gamma ray completion installation and operations log analysis reservoir characterization society stimulation dolomite cross-plot porosity interpretation drilling measurement porosity neutron porosity information petroleum engineer...

... the geological and dynamic understanding of our field. Modeling & Simulation orientation information gas tracer chemical tracer Upstream Oil & Gas middle interval communication tracer test analysis upper interval particle tracer Reservoir Characterization injector injector well...

... Development oil production simulator information prediction time step Artificial Intelligence Upstream Oil & Gas optimization surrogate model miscible gas injection reservoir injection well dataset random forest model exogenous parameter gazpromneft science society of petroleum engineers...

... types of decision. Investment decisions, such as facilities sizing, depend on global unknowns and must be optimized for the complete ensemble. Operational actions, such as closing a valve, can be optimized instantaneously for individual scenarios, using measurable information, although subject...

... is large and/or in harsh circumstances. Moreover, secondary porosity can be proficiently identified, evaluated and also characterized from the dynamic standpoint, hence representing a valuable information for any 3D reservoir models. natural language Artificial Intelligence vug Reservoir...