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Collaborating Authors
Results
Summary The paper describes a novel technique to interpret and map unconformity on 3D seismic data with misties in a very complex geological setting. The study area, Coalinga giant oil field in California, represents a dynamic depositional setting along with depositional hiatuses in a relatively unconsolidated, shallow Miocene clastic reservoir. The flow distribution of the field is mainly governed by the presence of three distinct unconformities and shaliness. The available, merged post-stack 3D datasets were acquired over different time periods in a field with numerous steam injection activities, which caused misties and reflector discontinuities on the seismic sections. Line tying of these unconformity reflectors is problematic. Reverting to reprocessing the data is time consuming and uneconomical; a novel technique is attempted to aid our interpretation.
- Geology > Geological Subdiscipline > Stratigraphy > Lithostratigraphy (0.86)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.52)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.45)
- North America > United States > California > San Joaquin Basin > Santa Margarita Formation (0.99)
- North America > United States > California > Salinas Basin > Coalinga Field (0.99)
- South America > Brazil > Parnaiba Basin > Block PN-T-68 > California Field (0.97)
Object-based Stochastic Facies Inversion
Nowak, Ethan (Virginia Tech) | Imhof, Matthias (Virginia Tech) | Kempner, William (Chevron-Texaco)
Summary This study is focused on introducing and assessing an adaptation to conventional techniques to generate reservoir realizations of hydrocarbon reservoirs. Some conventional techniques of stochastic reservoir modeling incorporate the use of lithology logs, reservoir statistics, architectural element analysis, deterministic seismic interpretation, geologic intuition, and modern/ancient analogs. The aim of the object-based stochastic facies inversion is to define the parameters currently derived from geologic intuition and analogs through a simulated annealing guided search technique for waveform inversion. Introduction Reservoir models are a necessary tool during the exploitation of hydrocarbon reservoirs. Such realizations may be generated by defining the model and its parameters that dictate the composition and internal structure of a reservoir.
- Geology > Rock Type (0.87)
- Geology > Geological Subdiscipline (0.73)
- Geology > Structural Geology > Tectonics (0.54)
- Geology > Sedimentary Geology > Depositional Environment (0.49)
- North America > United States > California > Salinas Basin > Coalinga Field (0.99)
- South America > Brazil > Parnaiba Basin > Block PN-T-68 > California Field (0.91)