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Predicting Shale Volume from Seismic Traces Using Modified Random Vector Functional Link Based on Transient Search Optimization Model: A Case Study from Netherlands North Sea
Faculty
Science
Year:
2022
Type of Publication:
ZU Hosted
Pages:
Authors:
Muhammad Nabih AbdelHady Alsayed
Staff Zu Site
Abstract In Staff Site
Journal:
Natural Resources Research Springer
Volume:
Keywords :
Predicting Shale Volume from Seismic Traces
Abstract:
Seismic data have the advantage of wide aerial distribution and deep extent unlike well data that are restricted to a boreholes location, measuring intervals, and depth. In addition, seismic data are suitable for delineation of structural and stratigraphic features, whereas well logs are suitable for delineation of much smaller scale petrophysical properties. However, both methods are beneficial for extending small-scale petrophysical parameters to largescale seismic volumes. In seismic data, seismic traces are mainly band-limited, whereas sources of seismic data do not offer the entire band of frequencies required for the desired resolution to be comparable to well data. Therefore, it is a big challenge to compare well data with a resolution that is several orders greater than that of seismic data. The integration of petrophysical parameters and seismic traces helps to predict the lateral distribution of petrophysical properties. However, the traditional prediction methods have their limitations. Therefore, this study used seismic and well logs to predict shale volume using the proposed model with an artificial neural network. The proposed hybrid model consists of a conventional random vector functional link (RVFL) network and the transient search optimization (TSO) algorithm, and the model is named TSO–RVFL. This model predicts shale volume in wells. The TSO–RVFL was compared with the standalone RVFL and other two hybrid models. The results of this study validated the successful performance of the artificial neural network for calculating and predicting petrophysical parameters, such as shale volume. The TSO–RVFL outperformed the three other models based on different statistical measures.
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Muhammad Nabih AbdelHady Alsayed, "New approach for releasing uranium radiation impact on shale content evaluation in shaly sand formations: A case study, Egypt", Elsevier, 2018
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Muhammad Nabih AbdelHady Alsayed, "A new deeper channel system predicted using seismic attributes in scarab gas field, west delta deep marine concession, Egypt", Elsevier, 2021
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Muhammad Nabih AbdelHady Alsayed, "Reliability of velocity-deviation logs for shale content evaluation in clastic reservoirs: a case study, Egypt", Springer, 2021
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Muhammad Nabih AbdelHady Alsayed, "Differentiation between source and reservoir rocks using statistical analysis of radiogenic heat production: A case study on Alam El Bueib Formation, north Western Desert, Egypt", Elsevier, 2021
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Muhammad Nabih AbdelHady Alsayed, "3D slicing of radiogenic heat production in Bahariya Formation, Tut oil field, North-Western Desert, Egypt", Elsevier, 2013
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Department Related Publications
Osama Mohamed Abdelmoneim Elbadry, "El-Badry, O. Hassaan & Abul Enein, : Sedimentology and Chemistry of the sandstones (Nubian Facies), Northern Eastern Desert, Egypt: Bull. Fac. Sci., Zagazig Univ., V. 5, p. 209 241. (1983)", لايوجد, 1900
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Osama Mohamed Abdelmoneim Elbadry, "El Badry, O. & Eid,: Lithostratigraphy and Petrology of some Eocene rocks, Fayium area, Egypt: Bull. Fac. Sci., Zagazig Univ., V. 9, p. 116 148. (1987)", لايوجد, 1900
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Osama Mohamed Abdelmoneim Elbadry, "El-Badry, O. Hassaan & Barakat, : Facies Model of the Miocene Sediments, Red Sea and Gulf of Suez coastal zones, Egypt: Fourth Symposium of Phanerozoic and Development in Egypt, Cairo, Egypt (Abstract). (1987)", لايوجد, 1900
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Sayyid AbdelAzim AbdulRahman, "حيوطباقية و بيئة قديمة لاوستراكودا الايوسين الاوسط و العلوي لغرب منطقة الفيوم- مصر", لايوجد, 1900
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Sayyid AbdelAzim AbdulRahman, "باليونتولوجية و بيئة قديمة الطبقات الانتقالية-باليوزوي علوي- على الضفة الغربية لخليج السويس بمصر.", لايوجد, 1900
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