Fracture Network Connectivity — A Key To Hydraulic Fracturing Effectiveness and Microseismicity Generation

Zhang, F.; Nagel, N.B.; Lee, B.; Sanchez-Nagel, Marisela

doi:10.5772/56302

Cited by 11 publications

(6 citation statements)

References 8 publications

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“…Fracture network connectivity is a key factor shaping generated microseismicity, stimulated rock volume, and production [47]. To find which clusters detected by DBSCAN are possibly hydraulically connected, the spatiotemporal evolution of clusters was analyzed.…”

Section: Spatiotemporal Evolution Of Clustersmentioning

confidence: 99%

Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume

Węglińska

Leśniak

2021

Energies

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The main goal of this paper was to estimate the heat exchange rock mass volume of a hot dry rock (HDR) geothermal reservoir based on microseismicity location. There are two types of recorded microseismicity: induced by flowing fluid (wet microseismicity) and induced by stress mechanisms (dry microseismicity). In this paper, an attempt was made to extract events associated with the injected fluid flow. The authors rejected dry microseismic events with no hydraulic connection with the stimulated fracture network so as to avoid overestimating the reservoir volume. The proposed algorithm, which includes the collapsing method, automatic cluster detection, and spatiotemporal cluster evolution from the injection well, was applied to the microseismic dataset recorded during stimulation of the Soultz-sous-Forets HDR field in September 1993. The stimulated reservoir volume obtained from wet seismicity using convex hulls is approximately five times smaller than the volume obtained from the primary cloud of located events.

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Section: Spatiotemporal Evolution Of Clustersmentioning

confidence: 99%

Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume

Węglińska

Leśniak

2021

Energies

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“…Several publications describe simulation of hydraulic fracture operations with this approach (e.g. Zhang et al 2013).…”

Section: Considering Fluidmentioning

confidence: 99%

Coupled Fracture Modelling with Distinct Element Methods

Yoon

Hazzard

2020

Modelling Rock Fracturing Processes

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The Distinct Element Method (DEM) simulates rock as an assembly of bonded particleseither spheres or convex polyhedral, and offers a unique opportunity to study the fundamentals of deformation and fracture under different stress paths. This chapter discusses the use of polygonal blocks and also the clumping together of circular particles to create more irregular shapes, which provide more realistic simulation of brittle rock fracturing. With recent development of DEM, it is possible to imprint larger fracture sets on the background grain structure to simulate slip and opening of pre-existing fractures. This chapter also demonstrates that the representation of rock by an assembly of distinct pieces offers opportunities to simulate other phenomenon not easily considered in continuum models such as fluid flow in joints and hydraulic fracturing, and the generation of seismicity as bonds break or discontinuities slip.

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“…Accurate evaluation of shale reservoir fracability provides a basis for selecting wells and intervals to be fractured and guarantees the high production of oil and gas. The fracability is a comprehensive index integrating the geological conditions and the engineering technology, and the rock brittleness is considered to be the most important index in fracability evaluation. − Previous studies − have shown that the evaluation of rock brittleness is very important for hydraulic fracturing and mining. So, accurate and efficient evaluation of shale brittleness provides a reference for fracturing evaluation of shale reservoirs , and technically guarantees better fracturing effects.…”

Section: Introductionmentioning

confidence: 99%

Shale Brittleness Index Based on the Energy Evolution Theory and Evaluation with Logging Data: A Case Study of the Guandong Block

Zhou²,

Li³

et al. 2020

ACS Omega

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Shale brittleness is a key index that indicates the shale fracability, provides a basis for selecting wells and intervals to be fractured, and guarantees the good fracturing effect. The available models are not accurate in evaluating the shale brittleness when considering the confining pressure, and it is necessary to establish a new shale brittleness model under the geo-stress. In this study, the variation of elastic energy, fracture energy, and residual elastic energy in the whole process of rock compression and failure is analyzed based on the stress–strain curve in the experiments, and a shale brittleness index reflecting the energy evolution characteristics during rock failure under different confining pressures is established; a method of directly evaluating the shale brittleness with logging data by combining the rock mechanic experiment results with logging interpretation results is proposed. The calculation results show that the brittleness decreases as the confining pressure increases. When the confining pressure of the Kong-2 member shale of the Guandong block is less than 25 MPa, the brittleness index decreases significantly as the confining pressure increases, and when the confining pressure is greater than 25 MPa, the brittleness index decreases slightly. It is shown that the shale brittleness index is more sensitive to the confining pressure within a certain range and less sensitive to the confining pressure above a certain value.

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Fracture Network Connectivity — A Key To Hydraulic Fracturing Effectiveness and Microseismicity Generation

Cited by 11 publications

References 8 publications

Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume

Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume

Coupled Fracture Modelling with Distinct Element Methods

Shale Brittleness Index Based on the Energy Evolution Theory and Evaluation with Logging Data: A Case Study of the Guandong Block

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