This paper describes the integrated approach to decision making on the optimized horizontal well completion with multistage fracturing (MSF) based on petrophysical, geomechanical and numerical modeling. This approach is pertinent in case of insufficient target exploration including absence of a full scale geo&hydromodel (FSGHM). The basic work process of the proposed approach is based on consistent efforts of a petrophysicist, geomechanical engineer, fracturing engineer and reservoir engineer and thus includes petrophysical and geomechanical modeling, fracturing design, numerical modeling and final planned well flow rate evaluation. The role of geomechanics in the production chain is to determine zones with the lowest and the highest fracture gradients to control fracture location and analyze fracture geometry. The basic objective of the proposed approach is to develop a set of recommendations to select: Optimized frac sleeve spacing to increase production during a certain period of well production;Optimized proppant injection volume in general and for each fracture;Recommended horizontal well paths for efficient multistage fracturing completion and reduction of the most probable risks;Frac sleeve placement with provision for the horizontal well path through the section (vertically) to optimize fracture initiation points and maximize reservoir coverage. Besides, according to the base history, costs of new target development using available production technologies can be estimated based on the completed work package. An additional objective of this approach is identification of interdependent parameters for further facilitation of downhole surveys and laboratory studies and excluding of non-informative methods. This paper gives an example of the developed method application for a prospecting and appraisal well at one of the West Siberian fields with a target characterized by extremely low permeability and uncertainty.

Авторское право 2015 г., Общество инженеров нефтегазовой промышленности Этот доклад был подготовлен для презентации на Российской нефтегазовой технической конференции SPE, 26 -28 октября, 2015, Москва, Россия.Данный доклад был выбран для проведения презентации Программным комитетом SPE по результатам экспертизы информации, содержащейся в представленном авторами реферате. Экспертиза содержания доклада Обществом инженеров нефтегазовой промышленности не выполнялась, и внесение исправлений и изменений является обязанностью авторов. Материал в том виде, в котором он представлен, не обязательно отражает точку зрения SPE, его должностных лиц или участников. Электронное копирование, распространение или хранение любой части данного доклада без предварительного письменного согласия SPE запрещается. Разрешение на воспроизведение в печатном виде распространяется только на реферат объемом не более 300 слов; при этом копировать иллюстрации не разрешается. Реферат должен содержать явно выраженную ссылку на авторское право SPE.

Summary This paper suggests the simplified correlation ratios, that are an approximate analytical representation of exact numerical solution, for evaluation of fracturing characteristics of the fractured reservoirs with the use of decline curves. Formalization and automation methods are suggested for finding fractured reservoir approximate parameters and range of uncertainty under the Warren-Root model.

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The paper considers workover selection problems and flooding optimization in the mature fields.The paper discusses the approaches for automation of selection of blocks / wells with good potential for workover activities (sidetracking, hydraulic fracturing, perforation to other layers) and flooding optimization activities based on 3D simulation modelling.The process of prospective sites selection includes reservoir characterization and reserves estimation based on both modelling and engineering techniques.The approach presented in this paper includes preliminary calculation of performance of wells workover activities followed by automated preparation of workover parameters for the further detailed calculation based on reservoir simulation.Example provided in this paper demonstrates the implementation of the discussed approach to the one of Russian oilfields.