Главная цель Научно-Технического Центра «Газпром нефти» («Газпромнефть НТЦ»)повышение нефтедобычи и ее эффективности за счет внедрения новых технологий и проектных решений на месторождениях «Газпром нефти». НТЦ обеспечивает аналитическую, методическую и научно-техническую поддержку процессов разведки и добычи нефти.

No abstract

Summary JSC Gazprom Neft ("the Company") launched an IT project in 2014 aimed at the optimization of comprehensive Well Intervention (WI) programs. Once created, those digital systems will bring the process to a new level of quality delivering the following results: Regulatory and procedural documents for the selection of candidate wells for WI, i.e., – HFC, ST, HST with MSHFC, and CUH have been updated for best practices, e.g., potential well conditions and WI application criteria/risks have been identified, and algorithms developed, for the calculation of flow rate potential, and WI candidate rating system has been set up. WI Program Development Standard has been updated.A web-based digital "WI Selection" system has been developed which uses cross-field databases to promptly select WI candidates based on the developed process document and to obtain well rating for WI across fields.A web-based "WI Agreement" system has been developed, which uses updated standard processes as the basis to have the WI's calculated in "WI Selection" agreed among specialists in charge, and to maintain the databases of approved WI's. The contemporary evaluation of the potential regarding WI quantity and efficiency with a field-by-field breakdown allows one to optimize the development of WI programs and focus on the most successful candidates, and thus, ensure target performance against WI Program keeping the costs down, as well as to develop an additional WI Program if relevant reserves are available.

The achievement of the well potential in the majority of Russian oil companies is monitored on an advisory basis using low-integrated approaches and tools. These processes are not automated enough [1]. As a result, 80% of the labor is spent on performing routine operations: collecting and preparing input data for analysis. This leads to suboptimal and untimely decisions to manage the development of current assets, and consequently, to lost production, increased water cut, an increase in the time to achieve the estimated oil recovery factor (oil RF), and unproductive injection into induced fractures. Thus, the purpose of this paper is to develop a decision support tool for a reservoir engineer. This paper describes the methods and functionality of the tool used to achieve the potential of the base production, which makes it possible to automatically, systematically and efficiently formulate recommendations for injection control, to select wells that are optimal for conversion to injection, to select candidates for treatment of the bottomhole zone, remedial cementing, well logging, and flow tests.

No abstract