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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This paper presents a work flow to match the history of reservoirs featuring complex fracture networks with a novel forward model. -
Data volumes are growing at an exponential rate. How can high-performance computing solutions help operators manage these volumes? Will faster, stronger processors and cloud computing solutions be the answer?
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This paper describes interpretation results of a 4D seismic-monitoring program in a challenging Middle East carbonate reservoir.
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This paper discusses a project with the objective of leveraging prestack and poststack seismic data in order to reconstruct 3D images of thin, discontinuous, oil-filled packstone pay facies of the Upper and Lower Wolfcamp formation.
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Production growth in the Permian Basin requires drill rigs running at a high pace. That is challenging companies to push well productivity.
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Electromagnetic images can show where water flows during a hydraulic fracture. A test in the Anadarko Basin showed a fault there was a bigger hazard than expected.
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Diagnostic fracture injection tests (DFITs) incur direct and indirect costs resulting from the tests themselves and the extended time required for the pressure falloff, which delays the completion of the well. The benefits, therefore, must outweigh the costs if the test is to be justified.
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Using drilling data and a downhole acoustic signal, developers aim to assess unconventional fracture networks in real time and give engineers ability to customize each stage.
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BP announced four discoveries in the Gulf of Mexico near existing platforms. It use advanced seismic imaging to identify resources in deepwater locations that can be developed cost effectively using platforms nearby.
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This paper describes a case study of the Chonskaya group of fields to demonstrate an approach to the integration of time-domain-electromagnetic (TDEM) electrical and seismic data when building a geological model for improving reservoir-property and -saturation prediction.
