A novel approach to identifying seismogenic structures and estimating reservoir volume based on synthetic cloud of seismicity induced by hydraulic fracturing

IF 1.4 4区地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS

Acta Geodaetica et Geophysica Pub Date : 2024-04-16 DOI:10.1007/s40328-024-00442-1

Elżbieta Węglińska, Andrzej Leśniak

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引用次数: 0

Abstract

Precise imaging of formed fractures and delineation of a reservoir’s boundaries within a scattered seismic cloud is complicated by inaccuracies in event location. Accurate estimate of stimulated reservoir volume (SRV) is key to evaluate fracturing performance. When reservoir volume is assessed based on dispersed locations, values tend to be overestimated. The aim of the article was to calculate SRV via seismicity induced during the course of hydraulic fracturing, solely on the basis of hypocenters and location errors. The methods for three-dimensional (3D) reservoir reconstruction combine the collapsing method, density-based spatial clustering of applications with noise, and alpha-shape estimation technique using synthetic data. The method we proposed for calculating reservoir volume based on the location of microseismic events allows for a more precise and realistic estimation. The SRV obtained using the proposed approach is approximately 14 times smaller than that obtained from the original cloud.

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基于水力压裂诱发地震的合成云确定震源结构和估算储层体积的新方法

在散射地震云中对已形成的裂缝进行精确成像并划定储层边界，会因事件定位的不准确而变得复杂。精确估算激发储层体积（SRV）是评估压裂性能的关键。根据分散位置评估储层体积时，数值往往会被高估。文章的目的是通过水力压裂过程中诱发的地震，仅根据次中心和位置误差计算 SRV。三维（3D）储层重建方法结合了坍塌法、基于密度的空间聚类应用噪声以及使用合成数据的阿尔法形状估计技术。我们提出的基于微地震事件位置计算储层体积的方法可以进行更精确、更真实的估算。使用所提出的方法获得的 SRV 比从原始云中获得的 SRV 小约 14 倍。

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来源期刊

Acta Geodaetica et Geophysica GEOCHEMISTRY & GEOPHYSICS-

CiteScore

3.10

自引率

7.10%

发文量

期刊介绍： The journal publishes original research papers in the field of geodesy and geophysics under headings: aeronomy and space physics, electromagnetic studies, geodesy and gravimetry, geodynamics, geomathematics, rock physics, seismology, solid earth physics, history. Papers dealing with problems of the Carpathian region and its surroundings are preferred. Similarly, papers on topics traditionally covered by Hungarian geodesists and geophysicists (e.g. robust estimations, geoid, EM properties of the Earth’s crust, geomagnetic pulsations and seismological risk) are especially welcome.