Currently, on the territory of Western Siberia the main cost-effective hydrocarbon reserves have been identified and are involved in the development. These reserves are concentrated in objects with well-predicted properties; reservoir thicknesses are uniform in section and area. To replenish the resource base, the most detailed study of complex deposits and promising objects associated with the Achimov stratum and deposits of the Tyumen formation is required. Of greatest interest to replenish the resource base is the Tyumen formation. Both the whole deposits and its parts are not involved in the development of the fields within which hydrocarbon production is conducted. With a significantly large number of objects there is no single methodology for assessing uninvolved reserves. In order to unify and automate the process of estimating uninvolved reserves, the author develops an algorithm for assessing the quality of reserves and methods for visualizing the results.
In the scientific literature there is no single definition and unambiguous terminology for uninvolved hydrocarbon reserves. To fulfill the tasks, four main criteria were identified: geology, infrastructure, protected area, seismic density. According to the geology criterion, five main characteristics were identified that can be applied by working with the Optimus Oil prototype, a software package that is being developed by specialists of Surgutneftegas PJSC. The Optimus Oil program operates on the basis of queries from existing databases. It analyzes the algorithm for highlighting promising areas. Converts all read grids to a single format (grid size, coordinates, dimension) and a grid calculator. Criteria for assessing the quality of reserves were formed, maps were built, and a prototype was created, in which map reading was implemented, a basic set of tools was introduced. This prototype can be used to evaluate and select any scenario for the development of the study area. The program will allow the phased introduction of promising objects into development at the lowest cost.
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