首页> 外文会议>SPE Bergen One Day Seminar >Integration of Real-time LWD Spectroscopy Data to Optimize Drilling Through Paleosols Supports Low Energy Drilling Operations
【24h】

Integration of Real-time LWD Spectroscopy Data to Optimize Drilling Through Paleosols Supports Low Energy Drilling Operations

机译:实时LWD光谱数据的集成通过古溶解优化钻孔,支持低能量钻井操作

获取原文

摘要

Paleosols are fossil soils, and provide additional challenges to drilling and completion operations as they are generally weaker and more friable than rocks such as shale or sandstone. This weakness often results in borehole degradation, wash- or breakouts and even formation collapse, which poses challenges to well operations. It is therefore important to identify paleosol horizons whilst drilling and perform operations in a manner that will minimize damage to these formations. Conventional log data is in many cases unable to uniquely identify paleosols. Recent analysis of real-time GR capture spectroscopy, which is available in logging-while-drilling, has assisted in identifying these horizons and aided the successful drilling and completion of several wells on the Gullfaks Satellite fields. Previous work demonstrated that paleosols could be characterized using iron content. Spectroscopy data was used to determine the concentration of a suite of elements whilst drilling. By combining conventional log data with measurements of iron content it has been possible to identify weaker paleosol horizons based on an increased iron content, high Gamma Ray signature, and high bulk densities. This data has been utilized in real-time to avoid excessive work of the drillstring over the paleosol zones, particularly with respect to stabilisers and the bit, and to optimize the position of the bottom hole assembly (BHA) during formation pressure testing. In order to reduce formation damage whilst drilling, a Low Energy Drilling Operations (LEDO) strategy in which the drilling parameters are only changed one at a time in order to establish trends, off bottom circulation is minimized and ROP is limited has been used. This technique was combined with traditional LWD triple combo data along with GR spectroscopy, measured matrix properties and borehole images. This approach has made it possible to successfully drill several wells through paleosol- rich formations.
机译:古玉米醇是化石土,并为钻井和完成操作提供额外的挑战,因为它们通常比岩石或砂岩等岩石较弱,更易碎。这种弱点往往导致钻孔降解,洗涤或突破,甚至形成崩溃,这造成了良好的运营挑战。因此,重要的是识别古溶解的视野,同时钻探并以最小化对这些地层损坏的方式进行操作。传统的日志数据在许多情况下无法唯一地识别古溶解。最近对实时GR捕获光谱的分析,可在钻井期间提供,并有助于识别这些视野,并辅助在Gullfaks卫星领域的成功钻井和完成几个孔。以前的工作表明,古溶胶可以使用铁含量表征。光谱学数据用于确定钻孔时的元素套件的浓度。通过将常规的日志数据与铁含量的测量相结合,已经可以基于增加的铁含量,高伽马射线签名和高散装密度来识别较弱的古溶解视察。该数据已实时使用,以避免钻石区上的过度工作,特别是相对于稳定剂和钻头,并在形成压力测试期间优化底部孔组件(BHA)的位置。为了减少钻井形成损伤,在钻井参数仅在钻孔参数仅改变一个时间以建立趋势的低能量钻孔操作(LEDO)策略,从而最小化底部循环,并且已经使用ROP。该技术与传统的LWD三重组合数据与GR光谱相结合,测得的基质特性和钻孔图像。这种方法使得可以通过古溶解的地层成功地钻几种井。

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