Proceedings of the 5th Unconventional Resources Technology Conference 2017
DOI: 10.15530/urtec-2017-2670034
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Sampling a Stimulated Rock Volume: An Eagle Ford Example

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Cited by 92 publications
(35 citation statements)
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“…Although current fracture diagnostics can rarely resolve the detailed nature of the fractures created during fracture treatment of unconventional hydrocarbon wells (Grechka et al 2017), recent empirical evidence suggests that deviations from planar fracture geometry may exist. Physical 1 3 evidence from cores that were sampled from a hydraulically fractured rock volume indicates that the generated fracture density far exceeds the number of perforation clusters (Raterman et al 2017). The creation of fracture complexity in terms of deflection, offset, and branching is possible at bedding surfaces and other naturally occurring heterogeneities, with preexisting natural fractures not appearing necessary for the creation of complex, distributed fracture systems.…”
Section: Introductionmentioning
confidence: 99%
“…Although current fracture diagnostics can rarely resolve the detailed nature of the fractures created during fracture treatment of unconventional hydrocarbon wells (Grechka et al 2017), recent empirical evidence suggests that deviations from planar fracture geometry may exist. Physical 1 3 evidence from cores that were sampled from a hydraulically fractured rock volume indicates that the generated fracture density far exceeds the number of perforation clusters (Raterman et al 2017). The creation of fracture complexity in terms of deflection, offset, and branching is possible at bedding surfaces and other naturally occurring heterogeneities, with preexisting natural fractures not appearing necessary for the creation of complex, distributed fracture systems.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the fact that many numerical and small-scale laboratory studies have provided us valuable insight into the interactions between hydraulic fracture and natural fractures, comprehensive field studies of what complex hydraulic fracture really look like are urgently lacking. Raterman et al (2017) presented a cross-study that involves coring multiple sidetracks directly through hydraulic fractures created by the stimulation of an adjacent horizontal well. This type of work is very rare and priceless, and may lead to a paradigm shift in how we envision hydraulic fracture inside SRV; such direct observations are the best benchmarks to validate our hypotheses about hydraulic fracturing in naturally fractured reservoirs.…”
Section: Fig18 the Analogy Between Multi-fracturing Within A Certaimentioning
confidence: 99%
“…Eventually, one dominant fracture will emerge from these narrowly spaced fracture swarms (Wang 2016) and will propagate further by itself until the next moment of unstable fracture propagation occurs. This can possibly explain why fracture swarms are observed in some coring samples while not observed in others (Raterman et al 2017). The advantage of using cohesive zone model is that the dynamic evolution of nucleation growth, and coalescence of microcracks occurs in the process zone ahead of fracture tip can be represented by cohesive zone, so that it is applicable to brittle, quasi-brittle and ductile rocks.…”
Section: Fig18 the Analogy Between Multi-fracturing Within A Certaimentioning
confidence: 99%
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“…Recent field study (Palisch et al 2017) using electromagnetic methods to detect electrically conductive proppants distribution reveals that the proppants are unevenly distributed among each cluster and the effective hydraulic fracture length/propped fracture surface area can differ from cluster to cluster in a given stage. Field study (Raterman et al 2017) by examining core samples through the upper section of fractures along a horizontal wellbore indicates that fractures are not evenly distributed spatially and thus reservoir drainage may be non-uniform. So sub-optimal completion, reservoir heterogeneity and premature screen-out may lead to large reservoir volume unstimulated and in turn, impact the rate transient behavior.…”
Section: Fig 1 Top View Of Typical Macroscopic Flow Regimes For Hydrmentioning
confidence: 99%