Viscoelastic Model and Synthetic Seismic Data of Eastern Rub’Al-Khali
Source abstract
Abstract
The Rub’ Al-Khali basin in Saudi Arabia remains unexplored and lacks data availability due to its remoteness and the challenging nature of its terrain. Thus far, there are neither digital geologic models nor synthetic seismic data from this specific area accessible for testing research techniques and analysis. In this study, we build a 2D viscoelastic model of the eastern part of the Rub’ Al-Khali basin and generate a corresponding dual-component seismic data set. We compile high-resolution depth models of compressional- and shear-wave velocities, density, as well as compressional- and shear-wave quality factors from published data. The compiled models span Neoproterozoic basement up to Quaternary sand dunes. We then use the finite-difference technique to model the propagation of seismic waves in the compiled viscoelastic medium of eastern Rub’ Al-Khali desert. In particular, we generate vertical and horizontal components of the shot gathers with accuracy to the fourth and second orders in space and time, respectively. The viscoelastic models and synthetic seismic datasets are made available in an open-source site for prospective re-searchers who desire to use them for their research. Users of these datasets are urged to make their findings also accessible to the geoscience community as a way of keeping track of developments related to the Rub’ Al-Khali desert.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Seismic Imaging and Inversion Techniques · Hydraulic Fracturing and Reservoir Analysis · Drilling and Well Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Geosciences Department, King Fahd University of Petroleum & Minerals, Dhahran 34464, Saudi Arabia
Mechanical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 34464, Saudi Arabia
References (37)
Show source-provided references
1. Finite difference seismic forward modeling method for fluid–solid coupled media with irregular seabed interface10.1093/jge/gxy017 ↗
2. Stable optimization of finite-difference operators for seismic wave modeling10.1007/s11200-019-0487-1 ↗
3. Liu, J., Yong, W.A., Liu, J., and Guo, Z. (2020). Stable Finite-Difference Methods for Elastic Wave Modeling with Characteristic Boundary Conditions. Mathematics, 8.10.3390/math8061039 ↗
4. Wang, Y., Ning, Y., and Wang, Y. (2020). Fractional Time Derivative Seismic Wave Equation Modeling for Natural Gas Hydrate. Energies, 13.10.3390/en13225901 ↗
5. Seismic-generated unsteady motions in shallow basins and channels. Part II: Numerical modelling10.1016/j.apm.2018.07.045 ↗
6. Xu, Y., Chen, X., Han, D., and Zhang, W. (2020, June 01). Complex topography and media implementation using hp-adaptive DG-FEM for seismic wave modeling. EGU General Assembly 2020, Lund, Sweden, Online, 4–8 May 2020, EGU2020-21047. Available online: https://meetingorganizer.copernicus.org/EGU2020/EGU2020-21047.html.
7. Asfour, K., Martin, R., and El Baz, D. (2020, June 01). Numerical Modeling of Attenuation and Nonlinear Effects in Computational Seismology. Available online: https://ui.adsabs.harvard.edu/abs/2020EGUGA..22...91A/abstract.10.5194/egusphere-egu2020-91 ↗
8. Jiang, C., Zhou, H., Xia, M., Chen, H., Zhang, Y., and Jiang, S. (2019, January 3–6). Acoustic Wave Simulation by Lattice Boltzmann Method with D2Q5 and D2Q9 of Different Relaxation Times. Proceedings of the 81st EAGE Conference and Exhibition, London, UK.10.3997/2214-4609.201900651 ↗
9. Sakemi, Y., and Hitoshi Mikada, J.T. (2019, January 26–30). A quantitative analysis of the passive seismic emission tomography using the lattice Boltzmann method. Proceedings of the Japan Geoscience Union Meeting, Chiba, Japan.
10. A concise python implementation of the lattice Boltzmann method on HPC for geo-fluid flow10.1093/gji/ggz423 ↗
11. Mitigating climate change via CO2 sequestration into Biyadh reservoir: Geomechanical modeling and caprock integrity10.1007/s11027-018-9792-1 ↗
12. Numerical modeling of the geomechanical behavior of Ghawar Arab-D carbonate petroleum reservoir undergoing CO2 injection10.1007/s12665-016-6122-3 ↗
13. The effect of injection well arrangement on CO2 injection into carbonate petroleum reservoir10.1504/IJGW.2018.091532 ↗
14. Numerical modeling of the geomechanical behavior of Biyadh reservoir undergoing CO2 injection10.1061/(ASCE)GM.1943-5622.0000893 ↗
15. Simulation of seismic waves at the earth’s crust (brittle-ductile transition) based on the Burgers model10.5194/se-5-1001-2014 ↗
16. Review on the geology of the Cretaceous sediments of the Rub’al-Khali, Saudi Arabia10.1016/0195-6671(82)90019-2 ↗
17. Nairn, A., and Alsharhan, A. (1997). Sedimentary Basins and Petroleum Geology of the Middle East, Elsevier.
18. The Challenge of Interpreting 3-D Seismic in Shaybah Field, Saudi Arabia10.2113/geoarabia0302209 ↗
19. Mesozoic siliciclastic reservoirs and petroleum system in the Rub’Al-Khali basin, Saudi Arabia10.1306/02021615112 ↗
20. Structural geology of the Rub’Al-Khali Basin, Saudi Arabia10.1002/2016TC004212 ↗
21. KFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set10.1190/tle36060507.1 ↗
22. KFUPM Ghawar digital viscoelastic seismic model10.1007/s12517-019-4390-4 ↗
23. Digital Viscoelastic Seismic Models and Data Sets Of Central Saudi Arabia in the Presence of Near-Surface Karst Features
24. Multi-scale tomography for crustal P and S velocities in southern California10.1007/s00024-003-2444-7 ↗
25. Pollastro, R.M. (2003). Total Petroleum Systems of the Paleozoic and Jurassic, Greater Ghawar Uplift and Adjoining Provinces of Central Saudi Arabia and Northern Arabian-Persian Gulf, US Geological Survey.
26. Predicting rock mechanical properties of carbonates from wireline logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia)10.1016/j.marpetgeo.2009.01.017 ↗
27. A simple design procedure for depth extrapolation operators that compensate for absorption and dispersion10.1190/1.2431637 ↗
28. Near-surface models in Saudi Arabia10.1111/j.1365-2478.2007.00639.x ↗
29. Liu, L., Kharji, M., and Chatterjee, H.S. (2013, January 26–28). Seismic attributes as exploration tools: A case study from the Jurassic in Saudi Arabia. Proceedings of the IPTC 2013: International Petroleum Technology Conference, Beijing, China.10.2523/16631-ABSTRACT ↗
30. Dasgupta, S.N., Hong, M.R., La Croix, P., Al-Mana, L., and Robinson, G. (2000). Prediction of reservoir properties by integration of seismic stochastic inversion and coherency attributes in super Giant Ghawar field. SEG Technical Program Expanded Abstracts 2000, Society of Exploration Geophysicists.10.1190/1.1815691 ↗
31. A 9C-2D land seismic experiment for lithology estimation of a Permian clastic reservoir10.2113/geoarabia0503427 ↗
32. Hydrogeology of the Saq aquifer northwest of Tabuk, northern Saudi Arabia
33. Saudi Arabian seismic-refraction profile: A traveltime interpretation of crustal and upper mantle structure10.1016/0040-1951(85)90287-2 ↗
34. Sharland, P., Archer, R., Davies, R.B., Simmons, M.D., and Sutcliffe, O.E. (2001). Arabian Plate Sequence Stratigraphy, GeoArabia Special Publication.
35. Viscoelastic finite-difference modeling10.1190/1.1443701 ↗
36. Sub-basalt Imaging of Hydrocarbon-Bearing Mesozoic Sediments Using Ray-Trace Inversion of First-Arrival Seismic Data and Elastic Finite-Difference Full-Wave Modeling Along Sinor–Valod Profile of Deccan Syneclise, India10.1007/s00024-018-1831-z ↗
37. Thorbecke, J. (2016). Finite-Difference Wavefield Modeling.