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.
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