Back to issue Building of absolute permeability model for terrigenous unconsolidated reservoir of superheavy oil field
UDC: 622.276.031:53
DOI: -
Authors:
1,2,2,3,4,5,51 LUKOIL-Engineering, Moscow, Russia
2 SamaraNIPIneft, Samara, Russia
3 Sergo Ordzhonikidze Russian State university for Geological Prospecting, Moscow, Russia
4 Institute of Oil and Gas Problems, Russian Academy of Science, Moscow, Russia
5 National University of Oil and Gas "Gubkin University", Moscow, Russia
Keywords: unconsolidated sandstone, absolute permeability model, clay minerals, facies analysis, geological modeling, hydrodynamic modeling, heavy oils, core analysis, early diagenesis
Annotation:
Large vertically integrated oil and gas companies aim to build comprehensive models and digital twins for all key production projects using the maximum data set to achieve the most accurate forecast possible. Geology traditionally represents the most complex segment in modeling due to its diverse datasets that are extremely difficult to integrate into a unified digital platform. Modern approaches to geological modeling involve obtaining detailed information on lithology and facies distribution. Classical methods used when constructing reservoir simulation models often result in a loss of important details and geological data. The most challenging and sensitive characteristic is a permeability model. Its indicators influence many technical decisions. Methods of modern petro-physical logging tools and special core studies significantly expand understanding of reservoirs – including their lithological composition, mineralogy, and pore space structure. Increased volumes and quality of data combined with advances in computational technologies allow using more flexible algorithms for permeability modeling and other reservoir properties. Current methodologies are integrated into a single process of building petro-physical, geological, and hydrodynamic models. Detailed description of rocks heterogeneity caused by various sedimentation conditions and early stages of transformation (eodiagenesis) noticeably improves the quality of the permeability model and enhances forecasts. Accuracy of such models directly affects the correctness of reservoir simulation settings and reliability of predictions, including well productivity estimates. Application of these methods at the well design stage contributes to increased technological efficiency. The proposed approach is illustrated by an example from a specific field, detailing its geological characteristics and applied permeability model. It provides complete insight into how geological factors affect operational performances and helps reducing uncertainty of development dynamics estimation by optimizing placement of new wells.
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