In this section
@inproceedings{Jacquemyn:2021:10.2118/208041-ms,
author = {Jacquemyn, C and Hampson, GJ and Jackson, MD and Petrovskyy, D and Geiger, S and Machado, Silva JD and Judice, S and Rahman, F and Sousa, MC},
doi = {10.2118/208041-ms},
publisher = {Society of Petroleum Engineers},
title = {Rapid Reservoir Modelling: Sketch-Based Geological Modelling with Fast Flow Diagnostics},
url = {http://dx.doi.org/10.2118/208041-ms},
year = {2021}
}
TY - CPAPER
AB - Rapid Reservoir Modelling (RRM) is a software tool that combines geological operators and a flow diagnostics module with sketch-based interface and modelling technology. The geological operators account for all interactions of stratigraphic surfaces and ensure that the resulting 3D models are stratigraphically valid. The geological operators allow users to sketch in any order, from oldest to youngest, from large to small, or free of any prescribed order, depending on data-driven or concept-driven uncertainty in interpretation. Flow diagnostics assessment of the sketched models enforces the link between geological interpretation and flow behaviour without using time-consuming and computationally expensive workflows. Output of RRM models includes static measures of facies architecture, flow diagnostics and model elements that can be exported to industry-standard software. A deep-water case is presented to show how assessing the impact of different scenarios at a prototyping stage allows users to make informed decisions about subsequent modelling efforts and approaches. Furthermore, RRM provides a valuable method for training or to develop geological interpretation skills, in front of an outcrop or directly on subsurface data.
AU - Jacquemyn,C
AU - Hampson,GJ
AU - Jackson,MD
AU - Petrovskyy,D
AU - Geiger,S
AU - Machado,Silva JD
AU - Judice,S
AU - Rahman,F
AU - Sousa,MC
DO - 10.2118/208041-ms
PB - Society of Petroleum Engineers
PY - 2021///
TI - Rapid Reservoir Modelling: Sketch-Based Geological Modelling with Fast Flow Diagnostics
UR - http://dx.doi.org/10.2118/208041-ms
UR - https://doi.org/10.2118/208041-MS
ER -