非常规/复杂油藏

孔隙压力预测模型研究碳氢化合物的生成

本文的作者介绍了一种基于物理的方法,用于天然裂缝性页岩油藏的显式孔隙压力预测。

粉河盆地的石油钻井平台。 背景是拉勒米峰。
资料来源:盖蒂图片社。

作者介绍了一种基于物理的方法,用于天然裂缝性页岩油藏的显式孔隙压力预测。未能解释超压的实际原因会导致低估深度的孔隙压力。这对于由于当前活跃或近期地质时期碳氢化合物生成引起的流体膨胀而尚未达到压力平衡的页岩尤其重要。

背景

该工作流程使用来自粉河盆地的数据进行了测试,但它应该可以扩展到全球其他页岩。事实证明,该方法对于那些区域经验有限或没有区域经验的未开发区块特别有用,例如哥伦比亚白垩纪 La Luna 页岩的情况。

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原文链接/jpt
Unconventional/complex reservoirs

Pore-Pressure-Prediction Model Investigates Hydrocarbon Generation

The authors of this paper introduce a physics-based method for explicit pore-pressure prediction in naturally fractured shale petroleum reservoirs.

Oil rig in the Powder River Basin. Laramie Peak in the background.
Source: Getty Images.

The authors introduce a physics-based method for explicit pore-pressure prediction in naturally fractured shale petroleum reservoirs. Failing to account for the actual cause of overpressure leads to underestimation of the pore pressure at depth. This is particularly important in shales that have not yet reached pressure equilibrium because of fluid expansion caused by currently active or recent-in-geologic-time hydrocarbon generation.

Background

The work flow is tested with data from the Powder River Basin, but it should be extendable to other shales worldwide. The approach should prove particularly useful in those undeveloped plays with limited or no regional experience, as in the case of the Cretaceous La Luna shale in Colombia.

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