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首页> 外文会议>2006 SPE Annual Technical Conference and Exhibition (ATCE 2006): Focus on the Future >Seismically Driven Reservoir Characterization Using an Innovative IntegratedApproach: Syd Arne Field
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Seismically Driven Reservoir Characterization Using an Innovative IntegratedApproach: Syd Arne Field

机译：使用创新的综合方法进行地震驱动的储层表征：Syd Arne Field

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摘要

This paper presents an innovative integrated workflow appliedrnto the characterization of a fractured chalk reservoir in thernDanish North Sea. The methodology uses simultaneousrnintegration of geophysical, geological and engineering data tornproduce an improved reservoir description. Integratingrndynamic flow data with the geophysical and geologicrninformation in 3D, reservoir properties - porosity and effectivernpermeability - are generated using artificial intelligence tools.rnThe strength of this technique lies in the fact that propertyrnmodeling is not constrained to match upscaled well data andrnconsequently these data serve to validate the outcome.rnThis workflow builds upon a methodology that has been usedrnsuccessfully for the characterization of fracture distribution.rnThe technique has been extended to include the generation ofrnseismically derived models of porosity and matrixrnpermeability.The objective of the approach is to improve thernability to capture the heterogeneity of key reservoir properties,rnand thus use the resulting reservoir model to both providernimproved predictive ability and identify previouslyrnundiscovered development opportunities. The application andrnoutcome of this integrated workflow to the Syd Arne field isrnpresented in this paper.
机译：本文提出了一种创新的集成工作流程，用于表征丹麦北海裂缝性白垩储层的特征。该方法利用地球物理，地质和工程数据的同时整合来改进储层描述。将动态流数据与3D的地球物理和地质信息相集成，可使用人工智能工具生成储层属性-孔隙度和有效渗透率。此技术的优势在于，属性建模不受约束以匹配上规模的井数据，因此这些数据可用于验证该工作流建立在已成功用于表征裂缝分布的方法学的基础上。该技术已扩展到包括生成基于地震的孔隙率和基质渗透率模型的方法，该方法的目的是提高捕获异质性的可加热性。关键储层属性，因此使用所得储层模型既可以提高提供者的预测能力，又可以识别以前未被发现的开发机会。本文介绍了该集成工作流在Syd Arne领域的应用和成果。

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