Reservoir characterization
This paper presents a novel approach to predict reservoir porosity by conditioning seismic data, calibrating seismic impedance inversion, and tailoring rock-physics analysis.
This paper aims to assess the effectiveness of using advanced integrated production-data-analysis techniques for condensate-rich tight gas fields.
This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.
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Electromagnetic (EM) reservoir imaging is likely to get more attention from operators thanks to a collaboration between Halliburton and a leader in this emerging technology, GroundMetrics.
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Need a Faster Measure of Relative Permeability? Take a CT Scan and Follow With Digital Rock AnalysisFaster, lower-cost measures of multiphase permeability of conventional reservoirs are promised by a digital rock analysis method developed by BP and Exa, which is marketing software to measure relative permeability.
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This paper will describe how one integrates a comprehensive methodology of data-mining techniques and artificial neural networks (ANNs) in reservoir-petrophysical-properties prediction and regeneration.
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Three major finds have shattered assumptions about what is possible in the most explored parts of Alaska’s North Slope.
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Technology that allows researchers to see stress forming inside rock samples may help unravel some of the mysteries associated with fracture behavior.
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The authors used a high-quality digital-log data set to characterize reservoir quality accurately in the Niobrara and Codell Formations in the Denver-Julesberg (DJ) Basin.
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Three-dimensional reservoir models are best created with a combination of well logs and 3D-seismic data. However, the effective integration of these results is not easy because of limited seismic resolution.
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The paper discusses an approach for predicting the lateral variation of net to gross (NTG) by use of 3D probabilistic seismic inversion.
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The objective of this study is to validate the concept of using a seismically derived discrete fracture network (DFN) calibrated with borehole measurements, for complex-hydraulic-fracture modeling.
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The application of high-precision downhole temperature sensors has resulted in pressure-transient analysis (PTA) being complemented or replaced by temperature-transient analysis (TTA).