TX 75083-3836 U.S.A., fax 01-972-952-9435. AbstractRisk management has become an integral part of the decisionmaking workflow in the oil and gas upstream business. As many oil fields reach a mature state, the need for rejuvenation and decline mitigation of assets set ground for Improved-Oil Recovery (IOR) opportunities. However, the associated decision-making process requires incorporating screening, reservoir simulation and financial evaluation, demanding complex multidisciplinary team efforts. It is important that any stage of the analysis, technical, strategic and economically sound decisions should be made.On one hand, IOR screening, whether based on technical grounds or 'gut feeling' experience, or better yet on both criteria, leaves a number of possible IOR processes available for evaluation through simulation. Analytical simulation and applicability screening tools are often favored on early stages. However, their crude application could mislead the decision process if results are not carefully interpreted and combined with reservoir engineering expertise and additional evaluation criteria.We propose to combine IOR screening strategies with spatial reservoir information to help to create appropriate sector models as starting point for more detailed evaluations. For this purpose, we couple an analytical simulator/IOR screening tool with a software tool that aids framing the IOR decision-making problem effectively, in the form of influence diagrams. From these diagrams, it is possible to create Tornado Diagrams, Decision Trees and Monte Carlo profiles that assist Reservoir Engineers with the task of properly and rationally framing the decision process, for example with regard to economic risk assessment and NPV analysis associated with IOR.The coupling between both software solutions is proposed in a way that avoids the inflexible monolithic constructions. We illustrate advantages of the proposed approach through a speedy analysis of a publicly available case.

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TX 75083-3836 U.S.A., fax 01-972-952-9435. AbstractRisk management has become an integral part of the decisionmaking workflow in the oil and gas upstream business. As many oil fields reach a mature state, the need for rejuvenation and decline mitigation of assets set ground for Improved-Oil Recovery (IOR) opportunities. However, the associated decision-making process requires incorporating screening, reservoir simulation and financial evaluation, demanding complex multidisciplinary team efforts. It is important that any stage of the analysis, technical, strategic and economically sound decisions should be made.On one hand, IOR screening, whether based on technical grounds or 'gut feeling' experience, or better yet on both criteria, leaves a number of possible IOR processes available for evaluation through simulation. Analytical simulation and applicability screening tools are often favored on early stages. However, their crude application could mislead the decision process if results are not carefully interpreted and combined with reservoir engineering expertise and additional evaluation criteria.We propose to combine IOR screening strategies with spatial reservoir information to help to create appropriate sector models as starting point for more detailed evaluations. For this purpose, we couple an analytical simulator/IOR screening tool with a software tool that aids framing the IOR decision-making problem effectively, in the form of influence diagrams. From these diagrams, it is possible to create Tornado Diagrams, Decision Trees and Monte Carlo profiles that assist Reservoir Engineers with the task of properly and rationally framing the decision process, for example with regard to economic risk assessment and NPV analysis associated with IOR.The coupling between both software solutions is proposed in a way that avoids the inflexible monolithic constructions. We illustrate advantages of the proposed approach through a speedy analysis of a publicly available case.

Screening and analytical methods are often used for fast preliminary evaluations of various EOR scenarios. Screening is typically performed using real field experience and knowledge data bases, which summarize application of EOR methods to similar fields. Analytical methods are limited by simplified representation of the reservoir and EOR processes; however solutions are exact and not affected by the numerical dispersion. Often an analytical solution is used to verify numerical results. The advantages of analytical methods are in their speed and relatively small amount of data necessary to estimate the recovery of a certain EOR technique. The approach is viable and practical when a large number of reservoirs are to be screened for EOR applicability or when a decision over a new asset with limited field data is to be made. A three-level approach to selection of EOR strategies is suggested. First the screening model allows for a fast first-order screening of key EOR applicability methods at given reservoir conditions. The applicability assessment is based on ranges for critical reservoir parameters, using a multi-criterion model and distribution functions. Than the model for oil recovery factor estimation based on the statistical data from projects carried out world wide is applied. Finally, analytical methods could be used for quantitative analysis and production profile calculations for main oil recovery methods: Depletion, Waterflooding, Cyclic Waterflooding, Polymer, Surfactant and Polymer/Surfactant flooding, Immiscible and Miscible Gas (CO2, N2, HC) flooding, Steamflooding and Immiscible WAG injection. A wide range of reservoir parameters and computed results enable the user to perform rapid and comprehensive reservoir analyses as well as sensitivity studies. A unique feature of the developed program is its capability to handle a series of scenarios in only one single run. This tool can be compared with a “compass” helping reservoir and petroleum engineers to identify and successfully implement EOR/IOR methods at their fields.

Методы увеличения нефтеотдачи: выбор и оценка эффективностиЛеонид М. Сургучев, Ева-Мария Рейх, Роман А. Беренблюм, Антон А. Щипанов / Международный исследовательский институт в Ставангере Авторское право 2010 г., Общество инженеров-нефтяников Этот доклад был приготавливан предьявления в 2010 Российской нефтьегазовой технической конференции и выставке состоится в Москве 26-28 октабря 2010.Данный доклад был выбран для проведения презентации Программным комитетом SPE по результатам экспертизы информации, содержащейся в представленном авторами резюме. Экспертиза содержания доклада Обществом инженеров-нефтяников не выполнялась, и доклад подлежит внесению исправлений и корректировок авторами. Материал в том виде, в котором он представлен, не обязательно отражает точку зрения Общества инженеров-нефтяников, его должностных лиц или участников. Доклады, представленные на конференциях SPE, подлежат экспертизе со стороны Редакционных Комитетов Общества инженеров-нефтяников. Электронное копирование, распространение или хранение любой части данного доклада в коммерческих целях без предварительного письменного согласия Общества инженеров-нефтяников запрещается. Разрешение на воспроизведение в печатном виде распространяется только на резюме длиной не более 300 слов; при этом копировать иллюстрации не разрешается. Резюме должно содержать явно выраженную ссылку на то, где и кем был представлен данный доклад. Write Librarian, SPE, P.O.Box 833836, Richardson, TX 75083-3836 U.S.A., факс 01-972-952-9435.