Towards improved hydraulic fracturing effectiveness through modelling and data integration: A case study from the Horn River Basin, BC

dc.contributor.advisorEaton, David W. S.
dc.contributor.authorKent, Alana Hope
dc.contributor.committeememberPedersen, Per Kent
dc.contributor.committeememberMaxwell, Shawn C.
dc.date2018-06
dc.date.accessioned2018-04-04T21:56:53Z
dc.date.available2018-04-04T21:56:53Z
dc.date.issued2018-03-28
dc.description.abstractUnderstanding how hydraulic fracture (HF) treatments affect a formation is crucial to ensure economical production in unconventional reservoirs. This thesis investigates an industry dataset from the Horn River Basin (HRB) that consists of microseismic (MS), reflection seismic, drilling, and completion data. Analysis of the MS reveals high variability in event clouds. While single monitor well bias is prominent in the magnitude statistics trends, kinked probability distributions and high outlier events suggest multiple mechanisms for MS generation. Spatial distributions are not classical bi-wing patterns but show lateral confinement, azimuthal variations, and out-of-zone growth. Stress heterogeneity is evident from variability in the instantaneous shut-in pressure (ISIP) and breakdown pressure values. The reflection seismic attributes of amplitude, most positive curvature (kpos), P-Wave impedance (Zp), and brittleness (BRI) show reservoir compartmentalization and are interpreted to account for irregular microseismic event growth. Deep MS growth is attributed to cross-cutting linear kpos trends and high values also appear to create a barrier; MS events arrest or curl to avoid positive anomalies. Rapid Zp transitions are also interpreted as a barrier and perforations in high zones correlate to rounded cloud growth and completion issues. In some situations, the high kpos and Zp values are co-located, suggesting that the impedance contrast is due to fractures. Both wells are in brittle areas but BRI does not appear to dictate growth direction. A completion method, named here as Short Interval Re-injection (SIR), is investigated with respect to the cohesionless state of the created fracture network, comprised of natural fractures (DFN) and the HF plane. The computer modelling code 3DEC was used to create a geomechanical model with observed MS events used as the calibration metric. The increase in MS event count seen in literature was replicated in the observed and modelled MS but it was discerned that the technique did not increase fracture complexity, as few new fractures were created during the re-injection. It is instead suggested that the SIR technique reinforces previously created fractures to improve stage production.en_US
dc.identifier.citationKent, A. H. (2018). Towards improved hydraulic fracturing effectiveness through modelling and data integration: A case study from the Horn River Basin, BC (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/31766en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31766
dc.identifier.urihttp://hdl.handle.net/1880/106475
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultyScience
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjecthydraulic fracture
dc.subjectMicroseismic
dc.subjectreflection seismic attributes
dc.subjectShort Interval Re-injection
dc.subjectnatural fractures (DFN)
dc.subjectgeomechanical model
dc.subjectHorn River Basin
dc.subjectdata integration
dc.subject.classificationGeophysicsen_US
dc.titleTowards improved hydraulic fracturing effectiveness through modelling and data integration: A case study from the Horn River Basin, BC
dc.typemaster thesis
thesis.degree.disciplineGeoscience
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.checklistI confirm that I have submitted all of the required forms to Faculty of Graduate Studies.en_US
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