Features of applying the integrated approach at the initial stages of development project. D33 offshore field development project overview

UDK: 622.276.012

DOI: 10.24887/0028-2448-2019-8-58-61

Key words: integrated project management system, integrated modeling, field development, probabilistic model, risk analysis

Authors: E.V. Armyaninov (LUKOIL-Kaliningradmorneft LLC, RF, Kaliningrad), I.O. Kuzilov (LUKOIL-Kaliningradmorneft LLC, RF, Kaliningrad), I.A. Gritsay (LUKOIL-Engineering LLC, RF, Moscow), M.A. Kryukov (LUKOIL-Engineering LLC, RF, Moscow), A.N. Lesnoy (LUKOIL PJSC, RF, Moscow), D.V. Rozhentsev (LUKOIL PJSC, RF, Moscow), I.N. Sannikov (LUKOIL-Engineering LLC, RF, Moscow)

For the successful implementation of large capital projects LUKOIL Company has implemented a phase approach, formalized in an integrated project management system and ensuring on-time identification of risks and economical assessment of different asset development options. One of the elements of an integrated project management system is an integrated model allowing production profile calculation, taking into account the interaction of wells through the reservoir and the surface infrastructure. Using of the integrated model also allow to estimate the probabilistic distribution of economic indicators of the project through multivariate calculations, to identify risks and contradictions of design decisions in various functional areas and discover opportunities to optimize projects that do not achieve targeted economic efficiency. In this article, using the example of the D33 offshore field of the Baltic Sea, the main tasks of the early stages of the project implementation are considered and the advantages of using integrated models for solving them are highlighted. The main approaches used in the calculations were: probabilistic modeling to assess the uncertainties of technological indicators and the associated risks; modeling of the downhole equipment control in intelligent wells providing improvement of oil recovery; multivariate integrated modeling to optimize capital and operating costs. By optimizing the position of production wells, optimal selection of ESP and downhole equipment and automatic control of well operation modes in IAM at phase 2 of the project, it was possible to keep the oil production levels planned for phase 1 while reducing the number of producing wells and refusing to use a boosting multiphase pump. Implementation of the proposed solutions allows reducing the cost of the project and increasing the project IRR by 0.6 %. According to the results of the described works, IAM based approach has been recommended for use in the initial phases on all LUKOIL major capital projects.