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Keywords: porosity
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3852292-MS
... rather than using log inputs. Biot s coefficient was also derived from lab reported Biot s values, then multiplied through the volumetric minerology content. Microporosity found in unconventional reservoirs increases the surface area of porosity, validating the approach of using minerology driven Biot s...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3854315-MS
... with the two acquisition modes. The first run was with a mode typically used for porosity and permeability analysis in conventional formations, and the second run was logged with the newly designed unconventional mode, which was recorded at a much faster rate than the conventional mode. The field engineer...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3855259-MS
... utilized a probabilistic multi-mineral model approach to characterize the lithology and evaluate each interval rock s properties. Conventional and advanced logs, calibrated to available core data, were input into the model. Conventional or standard logging data included gamma ray (GR), neutron porosity...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3860082-MS
... such as porosities and fluid saturations. In addition, the dependence of the reservoir properties on the thermal maturity of the formation adds more complexity to the characterization. Consequently, it is crucial to quantify the impact of thermal maturation on the reservoir properties for accurate reservoir...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3861336-MS
.... For example, designing an appropriate stimulation program requires a detailed rock elastic, porosity, permeability, brittleness, TOC evaluation, sealing/fault proximity evaluation, natural fracture characterization (Salazar et al, 2022; Salazar et al., 2021; Rabe et al., 2021; Salazar et al., 2017...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864914-MS
... mudstone reservoir samples from the same formation but with varying composition. Samples were selected to represent varying bulk density ( b), total porosity and total organic carbon (TOC). Tests were conducted at confining stresses representative of the effective mean in-situ stress. We observed three...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866768-MS
... fold and thrust belt depositional environment geochemical characterization interference gonzalez tomassini vaca muerta formation mudstone energy economics information porosity hydrocarbon mendoza unconventional resource technology conference exploration URTeC: 3866768 Assessing...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866741-MS
... are intended for CO2 sequestration, and the Belloy formation is utilized for water disposal. Amplitude versus Offset (AVO) seismic inversion methods are used to determine the formations’ elastic properties. Rock physics analysis is conducted to estimate porosity and mineralogy variations allowing for a better...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3862247-MS
.... Density, P-wave and S-wave impedance are estimated, from which Young’s Modulus and Brittleness Index are calculated. The second CNN simultaneously estimates the effective porosity, clay, kerogen, and quartz volumes. A Bayesian lithofacies method was used to perform facies classification and generate...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3868150-MS
... Abstract Natural fractures are important for oil and gas production in tight reservoirs that are usually characterized by ultralow matrix porosity and permeability. Natural fractures can be characterized by core sample analysis, image logs, production data, and other data sets; however, some...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864823-MS
... in larger pores (20-200 nm), with the precipitation being more dominant, leading to a decrease in total porosity by up to 10%. The alteration of the cement plugs lead to an increase in matrix tortuosity by 6 and 3 times after 2 and 5 weeks of exposure respectively. Although dissolution and precipitation...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3869822-MS
... resource in place estimate reserves evaluation clastic rock estimates of resource in place sedimentary rock shale gas energy economics composition caney shale geology geologist upstream oil & gas neutron porosity oil shale rock type mudstone fracture conductivity mineral...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3871063-MS
... ltf information midland basin recovery prediction porosity male dataset dommisse probability geomodel regime completion regressor urtec URTeC: 3871063 Survival Analysis Predicts Flow Regime Changes for Permian Basin Tight Oil Wells Frank Male*1, Robin Dommisse2 1. Pennsylvania State...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3702980-MS
... the data set used for model training are 3.4-3.7% for clay volume, 0.1-0.2 wt.% for total organic carbon, 0.025-0.033 g/cc for grain density, 0.7-1.1% for total porosity, and 5.4-7.4% for water saturation. These results demonstrate the ability of machine learning models trained on adequate data sets...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3721250-MS
... is comprised of two parts: (A) a scalable multi-well calibration step in which the well-log end-members are predicted for individual logs using core mineral volumes and porosity data across multiple wells and intervals; and (B) an interpretation step in which the calibrated end-members (part A) are used...

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