井间电磁高精度水力裂缝几何形状估计

Shubham Mishra, V. Reddy
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引用次数: 0

摘要

非常规资源通常具有低孔隙度和低渗透率的特点,只有在引入水力压裂(HF)技术之后,非常规资源才能得到经济开发。水力压裂技术需要从这些不渗透/致密的储层岩石中刺激油气流动。自1960年以来,HF在工业上得到了广泛的应用。HF是(1)在足以超过岩石抗拉强度的高压下,通过井筒向地下烃地层注入粘性凝胶流体,从而水力诱发裂缝/裂缝的过程(2),然后在注入的流体泄漏到地层中后,将含支撑剂的流体注入开放的裂缝,并用支撑剂充填物填充裂缝。所形成的支撑剂充填层使诱导裂缝保持张开状态,从而为油气从远场地下地层流入井筒创造了一条高导流通道。非常规油藏中的大多数现代井都是水平/近水平井,这些井在整个水平井筒(水平段)内进行了多次高频处理,以增加每口井与油藏的接触。这些井的产能由增产储层体积(SRV)决定,SRV取决于裂缝数量和每条支撑裂缝的导流水力裂缝表面积。因此,水力裂缝几何尺寸的估算对于任何非常规油田的开发都是至关重要的。关键尺寸是水力裂缝的长度、高度和方向,用于评估压裂、完井和油藏管理策略的最佳配置,以实现最大产量。设计可以根据HFG的观察结果进行评估,并且可以为进一步的油田开发规划井眼轨迹、间距等。该工作流程提出了一种利用井间电磁记录对主要水平或近水平井中HFG的全部或至少两个参数进行估计和建模的方法。该工作流程的基础是压裂液和驻留液(碳氢化合物或地层水)的盐度差异,或者更准确地说是电阻率差异。压裂液的电阻率通常明显低于油气,而油气是压裂作业中主要的驻留流体;如果HF发生在高含水饱和度区域,则压裂液的电阻率明显低于地层水。因此,两种流体之间的电阻率对比将划定水力裂缝的边界,从而有助于精确模拟HFG的部分或全部参数。井间记录可以沿着两口井之间的二维平面进行解释,其中一口井携带发射器,另一口井携带接收器。沿着二维平面的解释可用于校准三维非结构化HF模型,从而引入以前不存在的可靠校准输入。可以有多个这样的2D平面,因为多个井可以有一个接收器,在这种情况下,3D HF模型有更多的校准数据,甚至更精确。该工作流程显著提高了HF估算和建模精度的原因是,它提供了仅划分HF开放部分的能力,而不是划分泵送流体进入的整个体积,其中包括过快关闭的部分,无法为井的生产做出贡献。目前,油气行业通过最好的方法只能看到由于压裂而破裂的整个岩石体积,尽管其中很大一部分可能不会对产量产生影响,因此与产量预测和项目经济等重要决策所依据的3D模型无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Accuracy Estimation of Hydraulic Fracture Geometry Using Crosswell Electromagnetics
Unconventional resources, which are typically characterized by poor porosity and permeability are being economically developed only after the introduction of hydraulic fracturing (HF) technology, which is required to stimulate the hydrocarbon flow from these impermeable/tight reservoir rocks. Since 1960, HF has been extensively used in the industry. HF is the process of (1) injecting viscous gel fluids through the wellbore into the subterranean hydrocarbon formation, at high pressures sufficient enough to exceed tensile strength of the rock and hydraulically induce cracks/fractures (2) followed by injecting proppant-laden fluid into the open fractures and packing up the fracture with proppant pack, after the injected fluid leaks off into formation. The resultant proppant pack keeps the induced fracture propped open and thus creates a highly conductive flow path for the hydrocarbon to flow from the far-field subterranean formation into the wellbore. Most the modern wells in unconventional reservoirs are horizontal/near-horizontal wells that are completed with large multiple HF treatments across the entire length of the horizontal wellbore (lateral), to increase the reservoir contact per well. Productivity of these wells is dictated by the stimulated reservoir volume (SRV), which is dependent on the number of fractures and conductive hydraulic fracture surface area of each fracture that is propped open. Therefore, estimation of the hydraulic fracture geometry (HFG) dimensions has become very critical for any unconventional field development. Key dimensions are hydraulic fracture length, height, and orientation, which are required to assess the optimum configuration of fracturing, well completion, and reservoir management strategy to achieve maximum production. Designs can be assessed based on HFG observations, and infill well trajectories, spacing, etc. can be planned for further field development. This workflow proposes a method to estimate and model all or at least two parameters of HFG in predominantly horizontal or nearly horizontal wells by use of interwell electromagnetic recordings. The foundation of this workflow is the difference in salinity, or more precisely resistivity, of the fracturing fluid and the resident fluid (hydrocarbon or formation water). The fracturing fluid is usually significantly less resistive than the hydrocarbon that is the dominant resident fluid where fracturing is usually conducted, or less resistive than the formation water in case the HF occurs in high water saturation regions. Therefore, the resistivity contrast between the two fluids will demarcate the boundary of hydraulic fractures and thus help in precisely modeling some or all parameters of HFG. The interwell recordings can be interpreted along a 2D plane between the two wells, one of them bearing the transmitter and the other with the receiver. The interpretations along a 2D plane can be used to calibrate a 3D unstructured HF model, thereby introducing a reliable calibration input that did not exist before. There can be multiple such 2D planes as more than one well can have a receiver, and, in that case, the 3D HF model has more calibration data and is even more precise. The reason this workflow significantly improves precision in HFG estimation and modeling is that it provides the ability to demarcate only the open portion of the HF and not the entire volume where pumping fluid entered, which would include parts that closed too quickly to contribute to the production from the well. Today, the industry, by its best methods, can only see the entire rock volume that broke due to fracturing, although significant parts of that broken volume might not be contributing to the production and thus are irrelevant in the 3D models upon which important decisions such as production forecast and project economics are based.
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