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A.S.I. Al-Mansour
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Electro Facies Based Lithology and Mechanical Modeling
A Proposed Workflow and Models Linkage
The induced seismic activities and subsidence in the Groningen region urges for deeper investigation of the mechanical elastic parameters and lithological facies. A recently (2015) drilled well in the area of Zeerijp has provided a rich dataset from the Permian and Carboniferous to be analyzed and eventually help to understand and characterize the penetrated intervals.
The well was cored and logged extensively, providing a wide and diverse database that includes well logs, computed tomography (CT) scans, x-ray diffraction (XRD), petrography, routine core analysis (RCAL), scratch test, unconfined compression test (UCS) and triaxial compression test (TCS). These data were integrated using the disciplines of petrophysics, rock physics, geology and geomechanics, in order to analyze and build one lithology- and one mechanical- data based model that describe the Permian and Carboniferous section.
Each lithology- and mechanical- model consisted of six different facies; four sandstones and two shales facies were classified using the data and the understanding of the geological depositional model. The generated geology-reflected lithology facies model with the proposed workflow can aid into building a more reliable 3D geological model. The benefits of this methodology can be extended to assist in a more robust dynamic modeling. Additionally, the mechanical model can be used to provide granularity in previous mechanical models, not only for the reservoir, but also for the over- and under-burden. The two models (lithology- and mechanical-facies model) correlate 70% in general. ...
The well was cored and logged extensively, providing a wide and diverse database that includes well logs, computed tomography (CT) scans, x-ray diffraction (XRD), petrography, routine core analysis (RCAL), scratch test, unconfined compression test (UCS) and triaxial compression test (TCS). These data were integrated using the disciplines of petrophysics, rock physics, geology and geomechanics, in order to analyze and build one lithology- and one mechanical- data based model that describe the Permian and Carboniferous section.
Each lithology- and mechanical- model consisted of six different facies; four sandstones and two shales facies were classified using the data and the understanding of the geological depositional model. The generated geology-reflected lithology facies model with the proposed workflow can aid into building a more reliable 3D geological model. The benefits of this methodology can be extended to assist in a more robust dynamic modeling. Additionally, the mechanical model can be used to provide granularity in previous mechanical models, not only for the reservoir, but also for the over- and under-burden. The two models (lithology- and mechanical-facies model) correlate 70% in general. ...
The induced seismic activities and subsidence in the Groningen region urges for deeper investigation of the mechanical elastic parameters and lithological facies. A recently (2015) drilled well in the area of Zeerijp has provided a rich dataset from the Permian and Carboniferous to be analyzed and eventually help to understand and characterize the penetrated intervals.
The well was cored and logged extensively, providing a wide and diverse database that includes well logs, computed tomography (CT) scans, x-ray diffraction (XRD), petrography, routine core analysis (RCAL), scratch test, unconfined compression test (UCS) and triaxial compression test (TCS). These data were integrated using the disciplines of petrophysics, rock physics, geology and geomechanics, in order to analyze and build one lithology- and one mechanical- data based model that describe the Permian and Carboniferous section.
Each lithology- and mechanical- model consisted of six different facies; four sandstones and two shales facies were classified using the data and the understanding of the geological depositional model. The generated geology-reflected lithology facies model with the proposed workflow can aid into building a more reliable 3D geological model. The benefits of this methodology can be extended to assist in a more robust dynamic modeling. Additionally, the mechanical model can be used to provide granularity in previous mechanical models, not only for the reservoir, but also for the over- and under-burden. The two models (lithology- and mechanical-facies model) correlate 70% in general.
The well was cored and logged extensively, providing a wide and diverse database that includes well logs, computed tomography (CT) scans, x-ray diffraction (XRD), petrography, routine core analysis (RCAL), scratch test, unconfined compression test (UCS) and triaxial compression test (TCS). These data were integrated using the disciplines of petrophysics, rock physics, geology and geomechanics, in order to analyze and build one lithology- and one mechanical- data based model that describe the Permian and Carboniferous section.
Each lithology- and mechanical- model consisted of six different facies; four sandstones and two shales facies were classified using the data and the understanding of the geological depositional model. The generated geology-reflected lithology facies model with the proposed workflow can aid into building a more reliable 3D geological model. The benefits of this methodology can be extended to assist in a more robust dynamic modeling. Additionally, the mechanical model can be used to provide granularity in previous mechanical models, not only for the reservoir, but also for the over- and under-burden. The two models (lithology- and mechanical-facies model) correlate 70% in general.