Proceedings of the 4th Unconventional Resources Technology Conference 2016
DOI: 10.15530/urtec-2016-2459883
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Eagle Ford Case History: Evaluation of Diversion Techniques to Increase Stimulation Effectiveness

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Cited by 20 publications
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“…The Eagle Ford, a Late Cretaceous, marine, organic-rich shale located in the Western Gulf Basin in South Texas, is fossiliferous and interbedded with limestones, carbonaceous siltstones, and pyritic and phosphatic shale . Previous experimental analyses showed that Eagle Ford Shale samples used in this study are carbonate-rich shale with ∼66% calcite and contain quartz (∼26%), kaolinite (∼3%), pyrite (2%), gypsum (% not measured), and organic material (2%). , The images collected by SEM–EDS (Figure ) confirmed the presence of the components described above in the Eagle Ford samples we examined here.…”
Section: Discussionmentioning
confidence: 85%
“…The Eagle Ford, a Late Cretaceous, marine, organic-rich shale located in the Western Gulf Basin in South Texas, is fossiliferous and interbedded with limestones, carbonaceous siltstones, and pyritic and phosphatic shale . Previous experimental analyses showed that Eagle Ford Shale samples used in this study are carbonate-rich shale with ∼66% calcite and contain quartz (∼26%), kaolinite (∼3%), pyrite (2%), gypsum (% not measured), and organic material (2%). , The images collected by SEM–EDS (Figure ) confirmed the presence of the components described above in the Eagle Ford samples we examined here.…”
Section: Discussionmentioning
confidence: 85%
“…Mathieu et al [42] (2013) used DTS and DAS together for a field case study of cementplug-injection completions to analyze the ball-sequestration process and determine leakage between fractured sections based on DTS and DAS waterfall plots, with stronger DAS acoustic signals representing higher inflow during injection to calculate the distribution of fracturing fluid and proppant, and by providing graphs of real-time flow rates of fracture clusters to evaluate the effect of steering-agent application [43]; Sookprasong et al [35] (2014) jointly applied DTS and DAS to monitor different periods of fracture start, stop, dormancy and restart during the fracturing of tight gas wells, estimated the volume distribution of fracturing fluid and proppant in the fracture cluster based on DAS data and evaluated the current fracturing stage by DTS and DAS waterfall-graph bridge-plug-seal quality; however, this algorithm does not take into account the occurrence of fracturingfluid leakage and the calculated fluid distribution has errors. Wheaton et al [44] (2016) performed multi-stage hydraulic fracturing in horizontal shale wells in the Eagle Ford area and visualized the fracture geometry in a 3D fracture model with DTS and DAS data.…”
Section: Monitoring the Distribution Of Fracturing Fluid With Dasmentioning
confidence: 99%