首页> 外文会议>Society of Petroleum Engineers International Petroleum Technology Conference >Rock Physics Models for Integration of Petrology, Well, and Seismic Data for Triassic Reservoir De-risking
【24h】

Rock Physics Models for Integration of Petrology, Well, and Seismic Data for Triassic Reservoir De-risking

机译:岩石物理模型,岩石学,井和地震数据,三叠纪储层破坏风险

获取原文

摘要

Over the last decade Shell has developed and globally deployed a Quantitative Interpretation workflow (DRHI) which combines relevant subsurface data from a variety of sources to predict vertically and laterally variable reservoir properties from seismic data. In a study like this, relevant data are integrated over a wide range of scales, from the thin section over the core, well log, seismic, all the way to the basin model scale, with the objective to de-risk exploration and development opportunities. This paper showcases a successful application of this workflow for the Mungaroo Fm sandstones in the Carnarvon Basin, North West Shelf, Australia. The application of the integrated QI workflow has provided the local Shell operating company with three important tools to optimize its exploration drilling sequence and implement a lean appraisal strategy ahead of joint venture investment decisions. The three key tools derived from the workflow are: (1) Vertical rock property trends of reservoir and non reservoir rocks, based on well log and core data, utilizing rock physics for acoustic properties and combining sediment-petrology analyses in combination with 3D burial history to predict porosities away from well control. (2) Delineation of lateral rock property variability of reservoir and non-reservoir rocks away from well control, based on detailed depositional environment mapping and correlation with well-based petrofacies. (3) Detailed understanding of seismic data integrity and quality with analysis of options to optimize the data's suitablity for QI application. Several wells have been drilled that allow for an early assessment of study predictions. Differences between pre-drill predicted total porosity and the actual measured and/or log-calculated porosity, and of predicted versus logged acoustic properties were found to be small The DRHI workflow has provided a key pre-drill tool to predict reservoir properties within the Mungaroo formation with a high level of confidence.
机译:在过去的十年壳牌公司开发和全球部署一个定量解释的工作流程(DRHI),其从各种来源结合有关地下数据来预测从地震数据中垂直和横向可变的储层性质。在这样的研​​究中,相关数据都集成在一个宽尺度范围内,从薄部分在核心,测井,地震,一路盆地模型规模,其目标是去风险勘探和发展机会。本文展示了这个工作流程在卡那封盆地,西北大陆架,澳大利亚Mungaroo FM砂岩的成功应用。集成的工作流QI的应用提供了当地的壳牌运营公司有三个重要的工具,以优化其勘探钻井序列和领先的合资企业投资决策实现精益评估策略。从工作流程获得的三个主要工具有:(1)垂直储层和非储集岩的岩石属性趋势的基础上,测井和核心数据,利用岩石物理声学特性,结合沉积物岩石结合三维埋藏史分析预测孔隙度从井控了。 (2)储存器和非储集岩的横向岩石性质变化从井控制远,基于详细沉积环境映射和相关性与基于孔的岩相的划定。 (3)地震数据的完整性和质量的选择分析的详细理解来优化QI应用程序的数据的适宜性。多口井已钻了允许研究预测的早期评估。预钻之间的差异预测的总孔隙率和实际测得的和/或对数计算的孔隙率,以及预测的与记录的声学特性被认为是小的DRHI工作流提供了一个密钥预钻具到Mungaroo内预测储层性质形成具有高度的信心。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号