The 2019 Spring Workshop
of the Denver Well Logging Society will take place on April 3, from 7:30 am to 4:00 pm at the American Mountaineering Center in Golden, CO. The workshop, entitled "Data Analytics in Reservoir Evaluation", will feature data mining, machine learning, and other data analytics techniques applied to reservoir evaluation.
Unconventional shale reservoirs will continue to be a focus of the energy industry in North America for the foreseeable future. The bulk of the costs incurred in producing shale reservoirs comes from frac design and completions. With the price of oil still somewhat volatile, it is in the interest of energy companies to use data on hand to plan their horizontal wells so that they can stay in zone, and ultimately complete the wells in the optimal zone of interest.
Shale reservoirs tend to be heterogeneous in nature, with facies that differ in mineralogy, and as a result, geomechanical properties. What if a company could integrate knowledge of the geomechancial rock properties from their pilot wells into their well planning?
We evaluate the mineralogy, lithology and mechanical rock properties of an offset well, and use Multi-Resolution Graph Clustering (MRGC) to model mineralogical and mechanical facies in both the offset well and the proposed well paths. We then go a step further to integrate our mineralogical and geomechanical facies using MRGC to create a litho-mechanical facies and evaluate the facies to determine which, if any, would be a 'sweet-spot' for best original oil in place.
We present a workflow that evaluates the mineralogy and geomechanical rock properties of an offset well, and incorporate that information into the planning stages of a horizontal well. Ideally, geologists can take advantage of their knowledge of geomechanical facies and optimally place a well so that it leads to better placement within the reservoir sweet spot.
Kim McLean received her Bachelors of Science degree from the University of New Orleans before continuing to Central Washington University, where she studied the structural geology of the Tien Shan in Kyrgystan for her Master’s thesis. After receiving her MSc, Kim entered the energy industry, and now has over 15 years of experience. She worked at Halliburton and Paradigm before spending two years as the petrophysicist for the Pike Asset team with BP in Calgary. At Emerson E&P Software, Kim applies her practical petrophysical experience to the work she does with the Geolog Formation Evaluation application.