Modeling Uncertainties in Carbonate Karstic Reservoirs: Presentation of a Tool and its Application to a Real Field Case in Russia

Biver, Pierre; Longis, Christian; Penna, Emmanuel; Ovsyannikov, Andrey

doi:10.2118/160721-ms

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…The 4 phases are modelled separately using Total internal tool (see references [3] and [4] for details on the tool principle). The first one consists in representing the conduit networks corresponding to the 4 phases detailed above.…”

Section: Karst Modelingmentioning

confidence: 99%

Integrated Workflow To Tackle Heterogeneous Karst Dominated Reservoirs: Kharyaga Example

2014

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Kharyaga Upper Devonian oil reservoir, developed through water injection, is part of a highly heterogeneous carbonate platform. Three sedimentary domains can be identified from South to North: a microbial reef-flat, back-barrier grainy shoals and a non-reservoir lagoon. Static and dynamic data gathered since production start-up revealed that the barrier is extensively fractured and karstified and shows a dual permeability behavior. Understanding the distribution of the dual medium is key to successful development of such a complex reservoir.To capture the relative weight on the flow network of each type of heterogeneity, a new workflow to characterize the dual medium has been developed, including the following steps: karst facies identification from cores and borehole images, comparison of the karst facies over a detailed flow analysis including detailed PLT interpretation; analysis of the facies spatial distribution using various diagenetic scenarios. As a result a new integrated vision of the reservoir and flow system has been consolidated and 3 main emersions followed by a hydrothermal phase have been identified. Each individual emersion generated a complex karst system composed of several components linked to the paleo-topography.Representing properly such a heterogeneous system was coped with by iterating in order to match the dynamic data. A two-stage modeling workflow was used: (1) fast iteration process using a dedicated stochastic tool which generates karst conduits, constrained by infiltration zone, paleo-water-table and paleo-topography; (2) once the right inputs are captured, the forward modeling workflow simulated the process of dissolution and generated at very fine scale a more complex and more consistent system.Finally, this work allowed to model different representations of this complex reservoir capturing the range of remaining subsurface uncertainties and consistent with the integrated interpretation of static and dynamic data. It allows to highlight and evaluate quantitatively the stakes of current and potential new development.

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Section: Karst Modelingmentioning

confidence: 99%

Integrated Workflow To Tackle Heterogeneous Karst Dominated Reservoirs: Kharyaga Example

2014

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“…[3] и [4]). Первый метод предусматривает картирование областей с повышенной проницаемостью, формирующихся в течение 4 этапов поднятий (см.…”

Section: рис 8 -рассмотренные варианты карстообразованияunclassified

Integrated Workflow To Tackle Heterogeneous Karst Dominated Reservoirs: Kharyaga Example (Russian)

Neillo¹,

Pauget²,

Neumann³

2014

SPE Russian Oil and Gas Exploration &Amp; Production Technical Conference and Exhibition

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Комплексная методика моделирования зон карстообразования неоднородных коллекторов на примере Харьягинского месторождения В.Нейло, Л. Поже, К.Ньюман, Total SA Авторское право 2014 г., Общество инженеров нефтегазовой промышленности Этот доклад был подготовлен для презентации на Российской технической нефтегазовой конференции и выставке SPE по разведке и добыче, 14 -16 октября, 2014, 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.

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Nested Karst Simulations and Uncertainty Quantification - Application Case Study from a Kazakhstan Field

2013

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In carbonate reservoirs, heterogeneity is usually driven by both depositional and diagenetic patterns, which influence the final static and dynamic reservoir properties. Karstification is one of the most crucial diagenetic phases because of the way in which it constrains the permeability behaviour of the field. Defining static rock-type can therefore be problematic due to the highly imbricate karstic phases and their various distributions and extensions. A further major difficulty is the spatial distribution of rock-types in reservoir models, each linked to different sedimentological and karstic processes and each with their own, but interdependent, geometrical characteristics. This paper presents a modeling workflow applied to a large carbonate mound in Kazakhstan, affected by hydrothermal karstification. This new approach is based on nested stochastic simulations, geologically-driven and derived from the relationships between karst, depositional facies, and proximity to fault/fracture zones. In addition to the initial depositional model, three diagenetic phases and bitumen deposits are modeled successively in order to restore the complex spatial relationship existing between described alterations. The overall workflow is designed to quantify uncertainties at each step of the nested chain, including structural and filling uncertainties. The results of this study are quantification of uncertainties and volumetric estimations. They underline the importance of karst distribution and density on reservoir volumes ans especially on static recovery factors. They introduce high permeability drain increasing connectivity between injector and producer wells. This workflow provides new perspectives for reservoir modeling, including the appropriate effective porosities and permeabilities affected by karst features. It leads to multiples realization scheme allowing uncertainty quantification, either in mature or appraisal field development. The outcome of this modeling workflow, after a stage of up-scaling and dynamic simulation, allows a better assessment the potential impact on field behavior.

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Modeling Uncertainties in Carbonate Karstic Reservoirs: Presentation of a Tool and its Application to a Real Field Case in Russia

Cited by 4 publications

References 4 publications

Integrated Workflow To Tackle Heterogeneous Karst Dominated Reservoirs: Kharyaga Example

Integrated Workflow To Tackle Heterogeneous Karst Dominated Reservoirs: Kharyaga Example

Integrated Workflow To Tackle Heterogeneous Karst Dominated Reservoirs: Kharyaga Example (Russian)

Nested Karst Simulations and Uncertainty Quantification - Application Case Study from a Kazakhstan Field

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