2018
DOI: 10.1016/j.geothermics.2017.09.001
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A probabilistic application of oil and gas data for exploration stage geothermal reservoir assessment in the Appalachian Basin

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Cited by 14 publications
(9 citation statements)
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“…Moreover, sensitivity analysis made with regional models is commonly conducted in 3D. Several recent studies used a geostatistical approach to produce equiprobable distributions of thermal properties, which were then used for sensitivity analysis (Camp et al 2018;González-Garcia and Jessell 2016). Models can additionally be calibrated by automatic optimization to reproduce measured temperature data (Fuchs and Balling 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, sensitivity analysis made with regional models is commonly conducted in 3D. Several recent studies used a geostatistical approach to produce equiprobable distributions of thermal properties, which were then used for sensitivity analysis (Camp et al 2018;González-Garcia and Jessell 2016). Models can additionally be calibrated by automatic optimization to reproduce measured temperature data (Fuchs and Balling 2016).…”
Section: Discussionmentioning
confidence: 99%
“…A poster session was available during all breaks, and several meters of core through rocks similar Valentino et al (2008) and Valentino and Chiarenzelli (2018). Projections of those shear zones beneath the Appalachian strata (dashed black lines) are based on Chiarenzelli and Valentino (2020). The set of blue lines in western New York is the Clarenden-Lynden fault zone, and the set of blue lines adjacent to the southern Adirondacks are faults that cut lower Ordovician, Cambrian and basement units (from Jacobi, 2002).…”
Section: Workhop Structurementioning
confidence: 99%
“…The RFC is based on the permeability (k) in mD times reservoir thickness (H) in meters of each formation within a field and is a simple comparison of potential total fluid flow. (Camp et al 2018) assigned reservoirs as favorable with RFC of ≥ 1000 mD-m.…”
Section: Reservoir Productivity Index and Reservoir Flow Capacitymentioning
confidence: 99%
“…The higher the RPI the more likely a well is to be productive in a specific field or formation. A series of Monte Carlo calculations incorporate the above data using a code initially developed by (Camp et al 2018) and outputs both RPI and RFC. The updated code now inputs from and outputs to related NGDS Content Models (data input-Hydraulic Properties Observations, data output-Geologic Reservoir).…”
Section: Reservoir Productivity Index and Reservoir Flow Capacitymentioning
confidence: 99%