具有裂缝走廊的天然裂缝性油藏采收率估算方法的统计评价

Samir Prasun, A. Wojtanowicz
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引用次数: 0

摘要

可靠的油井采收率预测对于油藏开发设计至关重要。在底部水天然裂缝油藏(NFRs)中,由分布的裂缝“走廊”网络组成,走廊的间距(和孔径)在整个油藏中都是不同的。这使得油井的采收率成为一个概率变量,因为它取决于不确定的油井在网络中的位置。这种不确定性是双重的;它涉及到井在走廊网络中的位置以及井与最近走廊的可能相交。在任何网络位置(具有密集或稀疏走廊),井可以拦截裂缝走廊(裂缝井),也可以进入基质区块(基质井)中的两个走廊之间。一种估算油井采收率的简化方法是忽略井在走廊网络中的位置,只考虑均匀间距和孔径等于其已知统计值的统计等效油藏中裂缝井和基质井的概率和动态。另一种(全概率)方法考虑了井在网络中的位置以及是裂缝井或基质井的组合概率。该研究评估了两种方法之间的差异,解释了其统计性质,并展示了它们在文献中描述的走廊型NFR中的实施。在研究中,通过将内(近井)层的离散单孔隙度流动模型与外层的双孔双渗(DPDP)模拟器耦合来模拟采收率过程。基质井的内区从井一直延伸到最近的走廊,对于压裂井来说,内区包括走廊和相邻的基质区块。在模拟中,在最小井下流动压力和地面处理极限的约束下,基质井和压裂井以最大速率作业。该研究使用了廊道型NFR的统计数据,廊道孔径随廊道间距变化,间距大小为19英尺至153英尺,廊道孔径随廊道间距变化为8英尺至31英尺。简化方法得到的采收率范围为28% ~ 37%,总采收率单一值为33%,并按总库区面积的矩阵和廊道尺寸分数归一化。另一种方法是,概率方法给出裂缝井和基质井采收率的两个独立分布,这些分布由它们的概率加权,并使用加权平均的统计概念转换为总采收率的单个分布。概率估计给出了更高的回收率值——从32%到38%,期望值为36.6%。此外,有相当大的30%的概率回收率大于36.6%。一个数学证明解释了为什么概率方法给出的恢复估计大于简化方法。该方法的另一个优点是油井采收率的累积概率图,在实际应用中,它可以让作业者根据风险效益来做出油藏开发决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Assessment of Alternative Methods for Well Recovery Estimation in Naturally Fractured Reservoirs With Fracture Corridors
Reliable predictions of well recovery are crucial for designing reservoir development. In the bottom-water naturally-fractured reservoirs (NFRs), comprising a network of distributed fracture “corridors,” spacing (and apertures) of the corridors varies throughout the reservoir. This makes oil well’s recovery a probabilistic variable as it depends upon uncertain well’s location in the network. The uncertainty is two-fold; it concerns well’s location within corridor network and well’s possible intersection with the nearest corridor. In any network’s location (with closely- or sparsely–spaced corridors), wells may intercept fracture corridors (fracture well) or go in-between two corridors in a matrix block (matrix-well). A simplified way of estimating well recovery is to ignore well’s location within corridor network and consider only probability and performance of fracture well and matrix well in a statistically-equivalent reservoir with uniform spacing and aperture equal to their expected values derived from their known statistics. Another (fully probabilistic) method considers the combined probabilities of the well’s location in the network and being a fracture well or matrix well. The study evaluates discrepancy between the two methods, explains its statistical nature, and demonstrates their implementation in a corridor-type NFR described in the literature. In the study, recovery process is simulated by coupling the inner (near-well) zone’s discrete single-porosity flow model with the outer zone Dual Porosity Dual Permeability (DPDP) simulator. The matrix well’s inner zone extends from the well to the nearest corridor and for the fracture well inner zone covers the corridor and adjacent matrix blocks. In the simulations, matrix and fracture-wells are operated at maximum rate constrained by minimum downhole flowing pressure and the surface handling limit. The study is performed using statistical data from a corridor-type NFR with power-law-distributed spacing size from 19 ft to 153 ft and corridor apertures varying from 8ft to 31ft correlated with the spacing. The simplified method gives recovery values ranging from 28% to 37%, and the single value of total recovery 33% — normalized by the matrix and corridor size fractions of the total reservoir area. Alternatively, the probabilistic method gives two separate distributions of the fracture and matrix wells’ recoveries that are weighted by their probability and converted to a single distribution of total recovery using statistical concept of weighted average. The probabilistic estimation gives higher values of recovery — from 32% to 38% with the expected value of 36.6%. Moreover, there is a considerable 30% probability of having recovery greater than 36.6%. A mathematical proof provides explanation why the probabilistic method gives recovery estimate greater than that from the simplified method. Another advantage of the method is the cumulative probability plot of well recovery that, in practical applications, would let operators make reservoir development decisions based upon the risk-benefit consideration.
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