Microseismic Based Reservoir Characterization (SBRC): Stimulated Reservoir Volume, Diffusivity, Geomechanics and Probabilistic Modeling

LI, QI

Microseismic Based Reservoir Characterization (SBRC): Stimulated Reservoir Volume, Diffusivity, Geomechanics and Probabilistic Modeling

dc.contributor.advisor	Aguilera, Roberto F.
dc.contributor.author	LI, QI
dc.contributor.committeemember	Aminzadeh, Fred
dc.contributor.committeemember	Lines, Laurence R.
dc.contributor.committeemember	Mehta, Sudarshan A. Raj
dc.contributor.committeemember	Moore, Robert Gordon
dc.contributor.committeemember	Wong, Ron Chik-Kwong
dc.date	2018-11
dc.date.accessioned	2018-05-03T14:44:00Z
dc.date.available	2018-05-03T14:44:00Z
dc.date.issued	2018-04-27
dc.description.abstract	Microseismic monitoring is a technique that allows examining the 3D growth of a microseismic event cloud stemming from a hydraulic fracturing job. The prevalence of microseismic monitoring has given rise to a new research area referred to as Microseismic Based Reservoir Characterization (SBRC). The primary objective of this thesis is to develop new microseismic interpretation methods with a view to advance practical petroleum engineering aspects of SBRC particularly in tight and shale reservoirs. The major original contributions of this dissertation include: 1. Development of an analytical solution to calculate the relative seismicity rate occurring during a hydraulic fracturing job. Current methods require the use of numerical solutions. 2. Development of a diffusion-based method for calculating the stimulated reservoir volume (SRV) in anisotropic, asymmetric, nonuniform shale petroleum reservoirs. The analytical solution satisfies the requirements of fast implementation, robust application and analytical tractability. Current methods to handle these complexities require the use of numerical solutions. 3. Development of a correlation for calculating Biot coefficient with an emphasis on shale petroleum reservoirs based on knowledge of porosity and permeability. The easy-to-use correlation provides good agreement with previously published direct experimental measurements. This is important as Biot coefficient plays a very important role on stress coupling in microseismicity modeling. 4. Development of a method for calculating large-scale permeability using Mogi’s (1967) empirical rock failure relationship. Large scale permeability plays a very important role on the success or failure of a hydraulic fracturing job. 5. Development of a probabilistic model that combines stochastic process, seismicity rate and statistical learning approach for predicting real time microseismicity occur- rences. This is important in evaluating the ongoing process of a hydraulic fracturing job. 6. Development of a geostatistical simulation algorithm, TopoSim, which integrates topological preserving algorithms and utilizes unsupervised machine learning pro- tocol. The algorithm can be used, for example, in the evaluation of paleochannels in reservoirs of continental origin, and to generate multiple natural fractures network realizations, which can be fed into reservoir and geomechanical simulators. It is concluded that the above original contributions will enhance the SBRC particularly in the case of shale petroleum reservoirs.	en_US
dc.identifier.citation	Qi, L. (2018). Microseismic Based Reservoir Characterization (SBRC): Stimulated Reservoir Volume, Diffusivity, Geomechanics and Probabilistic Modeling (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/31882	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/31882
dc.identifier.uri	http://hdl.handle.net/1880/106596
dc.language.iso	eng
dc.publisher.faculty	Graduate Studies
dc.publisher.faculty	Schulich School of Engineering
dc.publisher.institution	University of Calgary	en
dc.publisher.place	Calgary	en
dc.rights	University 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.subject	Microseismic
dc.subject	Petroleum Engineering
dc.subject.classification	Engineering--Petroleum	en_US
dc.title	Microseismic Based Reservoir Characterization (SBRC): Stimulated Reservoir Volume, Diffusivity, Geomechanics and Probabilistic Modeling
dc.type	doctoral thesis
thesis.degree.discipline	Chemical and Petroleum Engineering
thesis.degree.grantor	University of Calgary
thesis.degree.name	Doctor of Philosophy (PhD)
ucalgary.item.requestcopy	true