With the increasing importance of the cost of projects FPP stage to minimize the geological and technical risks associated with the full-scale development of deposits only increases. An integrated approach multidisciplinary group based on detailed modeling to study the formations fluids and potential wells at the stage of FPP, based on the disparate and often conflicting data, allows you to develop metrology and other requirements for conducting research to develop an optimal design, successfully conduct himself step FPP narrow source uncertainty range and improve the expected development indicators.
For reliable identification of the parameters of the object (deposit, field) at the stage of field pilot projects (hereinafter - FPP) are equally needed at least two components - the information content measurement system response and detailed modeling of planned processes of the FPP. This makes it possible not only to create a design study, but further optimization FPP plans, with no loss of accuracy or completeness of the expected results. The results of the implementation of this approach for one of the Arctic projects (complex hydrodynamic studies of wells - well testing, including Interference) are interested.
Based on the detailed geological and hydrodynamic modeling of the FPP well tests, the sensitivity of the production parameters to the base reservoir and fluid properties is estimated. Consideration of a wide range of uncertainties related to the sedimentation, the facial structure of the reservoir, development parameters, technological and infrastructure constraints, makes it possible to rank the most important uncertainties and to correct the FPP if necessary.
Detailed simulation in this case gives a numerical evaluation of the expected program results (for example, variations of bottomhole pressure responses to the initial perturbations of the main parameters, the duration of well tests etc.). This approach provides a wide opportunity for developing metrological requirements, as well as an appropriate well test plan and a well test design with a minimum risk of loss of data quality.
Author
Diana Shigapova, PhD
Roxar, Head of Oil&Gas Reservoir Development Division
In 2005 Diana graduated from the Russian State University of Oil and Gas named by IM. Gubkin on the specialty "Hydromechanics of oil and gas condensate fields". In 2009 she defended her Ph.D. on the specialty "Fluid, Gas and Plasma Mechanics". Author and co-author of more than 30 publications and reports at conferences.
Since 2005 Diana has specialized in reservoir engineering. In Roxar since 2007 she has passed the way from a reservoir engineer to a head of the division. The portfolio of projects includes works on more than 50 fields of the Volga-Ural, Timano-Pechora, West-Siberian, incl. Yamal, and the Caspian regions both for large vertically integrated and for small companies.
Diana’s expertise is E&P projects based on 3D reservoir modeling and simulation: field development strategy, assessment of investment attractiveness, geological prospecting works / pilot programs, drilling justification, localization of residual reserves, field development optimization (including waterflooding, workovers, wellbore treatment, formation treatment etc), uncertainty evaluation and risk analysis.
In SPE since 2006, an active participant in SPE events, a program committee member of the SPE Caspian Technical Conference & Exhibition.