哈里伯顿通过业界最接近“钻头”的超深电阻率服务提高钻井精度

   2023-06-09 互联网综合消息

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核心提示:据世界石油网站6月6日报道,哈里伯顿公司推出了EarthStar X近钻头浅层和超深电阻率服务,这是iStar智能钻井

据世界石油网站6月6日报道,哈里伯顿公司推出了EarthStar X近钻头浅层和超深电阻率服务,这是iStar智能钻井和测井平台的一部分。

EarthStar X服务的近钻头、超深储层测量传感器提高了井位精度,能够早期检测地质变化,并实现快速井轨修正,以保持在最具生产力的区域实现最大化资产价值。集成的浅层电阻率测量可进行早期储量评估和准确的流体特征描述,进一步提高储层洞察力,同时降低操作复杂性和风险。

Sperry钻井公司副总裁Jim Collins表示:“我们倾听并响应运营商的需求,创建了业界‘最接近钻头’的超深电阻率测量。EarthStar X服务能够准确评估储量,帮助将井位置于最复杂储层的生产区。”

EarthStar X服务通过超深方位电阻率测量和反演处理,在三个维度上准确绘制地质情况,实现地质定向钻井、地质停钻和地质绘图。实时的流体和层界面可视化可以将井位放置在储层最具生产力的区域,并提高剖面的净比值。该行业最接近钻头的超深方位电阻率传感器可以早期检测地层变化,并及时调整井轨。

吴奇之 编译自 世界石油网

原文如下:

Halliburton increases drilling accuracy with industry’s “closest to bit” ultra-deep resistivity service

Halliburton Company introduced the EarthStar X near-bit shallow and ultra-deep resistivity service, part of the iStar intelligent drilling and logging platform.

The EarthStar X service's near-bit, ultra-deep reservoir mapping sensor increases well placement accuracy - detecting geological changes early and enabling quick well trajectory correction to remain in the most productive zones and maximize asset value. Integrated shallow resistivity measurements allow early reserves evaluation and accurate fluid characterization to further improve reservoir insight while lowering operational complexity and risks.

“We listened and responded to operators to create the industry's ‘closest to bit' ultra-deep resistivity measurements,” said Jim Collins, Vice President, Sperry Drilling. “The EarthStar X service enables accurate reserves evaluation to help place wells in the productive zone of even the most complex reservoirs.”

The EarthStar X service accurately maps the geology in three dimensions using ultra-deep azimuthal resistivity measurements and inversion processing to geosteer, geostop, and geomap. Real-time fluid and bed boundaries visualization can place the well in the reservoir's most productive zone and increase the section's net-to-gross value. The industry's closest ultra-deep azimuthal resistivity sensor to the bit can detect formation changes early and make timely well path adjustment to avoid early exits.



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