Refinement of the Geological and Hydrodynamic Model of Productive Deposits Based on the Interpretation of Seismic Survey Data
摘要
The research presents the experience of conducting a comprehensive interpretation of seismic survey data on productive Jurassic-Lower Cretaceous deposits. The studied area is characterized by a complex geological structure, including extensive regions of reservoir pinch-outs and replacements, as well as a multi-directional system of disjunctive faults. To improve the traceability of structural surfaces, the authors performed an attribute analysis of the original seismic survey data. The methodology used allowed for an increase in the vertical resolution of the original cubes and enhanced the detail of the wave field. A combination of kinematic and dynamic seismic attributes was employed to identify reflective surfaces of productive horizons in the section. To enhance phase extrema, the authors created cubes of the Second Derivative of the seismic trace and Automatic Gain Control. The contrast and traceability of disjunctive faults were improved through the complex application of several attributes: Kuwahara Filter, Coherency, and the Ridge Method. Based on the detailed surfaces of the productive layers and tectonic faults, the authors created a structural framework of the modeled object. To understand the distribution of the lithological properties of the deposits, the authors carried out spectral decomposition of the amplitude cube. As a result of this analysis, the boundaries of sedimentation environments were clarified; the facies body boundaries were identified in the unexplored part of the studied area. The patterns of lithological composition distribution and structural surface boundaries revealed during the study allowed for the updating of the geological and hydrodynamic model of the field. The research results formed the basis for recommendations to optimize the field development system and proposals for implementing effective geological and technical measures to increase the oil recovery factor.