首页> 外文会议>SPE Latin American and Caribbean Petroleum Engineering Conference >Optimization of the Prediction of Hydrocarbon-Producing Zones Through Integration of Petrophysical Evaluation Methodologies in the Estancia Cholita Field, Gulf of San Jorge Basin
【24h】

Optimization of the Prediction of Hydrocarbon-Producing Zones Through Integration of Petrophysical Evaluation Methodologies in the Estancia Cholita Field, Gulf of San Jorge Basin

机译:通过岩石物理评价方法在San Jorge盆地的斯坦科科基野田间集成通过岩石物理评价方法的预测优化碳氢化合物地区

获取原文

摘要

Up to now, different petrophysical methodologies have been developed to improve the success rate in selecting oil intervals in the Gulf of San Jorge Basin oilfields. These methodologies have been successful only in a limited number of cases and a solution that has field-wide applicability has been lacking. This project attempts to optimize previous results using an integrated petrophysical characterization workflow. The geological complexity of the Estancia Cholita Field which is mostly due to limited lateral continuity and small reservoir bed thickness, particularly in the Castillo Formation, makes layer-by-layer correlation difficult. Several other factors add to the complexity of petrophysical evaluations, these include: alteration of petrophysical properties in certain zones near faults, variation of tuffaceous material content, formation damage, invasion of drilling fluids, zones with viscous oil, low and variable formation water salinity. During this study, a two step petrophysical evaluation workflow was developed. The first step considers the application of quick-look log analysis techniques, specially the "Ratio" methodology, and the free fluid and permeability indexes (NMR), with the aim to evaluate those intervals of major potential in the well. The following step consists of a detailed analysis, in the zones where water production forecast has been identified, to calculate a formation water resistivity profile along the well. Preliminary results of the study confirm that combining this methodology with local experience, layer-by-layer correlations, formation pressures data, log analysis, and supplementary information helps improve predictions of oil bearing zones in the Estancia Cholita Field.
机译:到目前为止,已经制定了不同的岩石物理方法,以提高在圣豪尔菊盆地油田湾选择油间隔的成功率。这些方法仅在有限数量的情况下取得了成功,并且缺乏具有现场适用性的解决方案。该项目试图使用集成的岩手物理表征工作流程优化以前的结果。 estancia cholita田间的地质复杂性主要是由于横向连续性有限,特别是在Castillo形成中,使得逐层相关性难以。其他几个因素增加了岩石物理评估的复杂性,其中包括:在某些区域内的岩石物理特性在近缺陷附近,凝灰岩物质含量的变化,形成损伤,钻孔侵入的钻孔,具有粘性油的区域,低和可变的水盐。在本研究期间,开发了两步的岩石物理评估工作流程。第一步考虑了快速外观对数分析技术的应用,特别是“比率”方法,以及自由流体和渗透性指数(NMR),其目的是评估井中的主要潜力的间隔。以下步骤包括详细分析,在识别出水生产预测的区域中,计算沿井的形成水电阻率曲线。该研究的初步结果证实,将该方法与局部经验,层逐相关性,地层压力数据,对数分析和补充信息相结合,有助于改善estancia cholita领域的含油区的预测。

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