【24h】

Post Well Analysis of Gulf of Mexico: A Multidisciplinary Approach for a More Confident Understanding of this Complex Petroleum System

机译:发布墨西哥湾的井分析:对这种复杂石油系统的更自信了解的多学科方法

获取原文

摘要

A multidisciplinary study of 100 wells from the U.S. offshore Gulf of Mexico has been carried out in order to assess, for each formation in each well, the four key risk factors for exploration: reservoir, trap, seal, and charge. The criteria for well selection comprise location in key areas of exploration, depth, well stratigraphy, and availability of data. Both dry and discovery wells have been analyzed, for a more complete spectrum of the exploration scenarios that characterize this region. This multidisciplinary approach, that includes the integration of well data (including geological reports, well logs, mud logs, and biostratigraphic reports), 2D and 3D seismic data, petrophysical data (including CPIs [computer processed interpretations]), thermal modelling, and public data, provides a unique systematic assessment of the petroleum systems of U.S. offshore Gulf of Mexico. Vertical complexity and heterogeneity of the Tertiary successions makes it difficult to identify formations and sequences based solely on lithological and wireline data. The integration of the biostratigraphic datasets has been fundamental to identify and characterize sequences and lithological units. By collating the results of this study in a software database, that can be browsed and investigated in geographic information system software, new trends and patterns in the data can be explored.
机译:从美国近海海湾的100个井的多学科研究已经进行,以便评估每个井的每种形成,勘探的四个关键风险因素:水库,陷阱,密封和充电。井选择的标准包括勘探,深度,层次层的关键领域的位置,以及数据的可用性。已经分析了干燥和发现井,以获得表征该区域的更完整的勘探场景。这种多学科方法,包括井数据的集成(包括地质报告,井日志,泥炭日志和生物数据库报告),2D和3D地震数据,岩手性数据(包括CPIS [计算机加工解释]),热建模和公共数据,提供了美国海上墨西哥海湾石油系统的独特系统评估。第三次继承的垂直复杂性和异质性使得难以仅基于岩性和有线数据识别地层和序列。生物数据集数据集的集成是识别和表征序列和岩性单位的基础。通过在软件数据库中整理本研究的结果,可以在地理信息系统软件中浏览和调查,可以探索数据中的新趋势和模式。

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