Study on selection and direct inversion method of brittleness index for shale reservoir

• Autorzy: Qin Ziyu , Wen Xiaotao , Pan Shulin , Chen Jing-yi , Gou Qiyong

Identyfikatory

DOI

10.1007/s11600-022-00923-3

• Języki publikacji: EN

Abstrakty

EN

The brittleness index can be indirectly converted by elastic parameters which are obtain by pre-stack amplitude variation with offset inversion and extended to the whole work area. However, indirect conversion will bring cumulative errors. In order to improve the accuracy of obtaining the brittleness index, the exact Zoeppritz equation including different brittleness indices is derived. Before inversion, we analyzed the characteristics of the brittleness index under the changes of brittle minerals, porosity and organic matter content through rock physics model, and selected the brittleness index most suitable for the work area. Based on the Bayesian framework, we introduce the Limited-memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) method to invert theoretical and actual data. Theoretical data inversion results demonstrate this method can achieve good results in both PP- and PS-wave joint inversion as well as only PP-wave inversion. To further verify the effectiveness of the algorithm, the brittleness index of actual data is directly inverted by using the studied algorithm and process. The inversion results of the borehole-side trace are in good agreement with the brittleness index calculated by log data. Both theoretical and practical data prove the feasibility of our proposed method.

Słowa kluczowe

EN

brittleness index; AVO; rock physics model; limited-memory Broyden−Fletcher−Goldfarb−Shanno method; L-BFGS; exact Zoeppritz equation; amplitude variation with offset inversion

PL

indeks kruchości; AVO; model fizyki skał

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2023
• Tom: Vol. 71, no. 2
• Strony: 757--768
• Opis fizyczny: Bibliogr. 39 poz.

Twórcy

autor

Qin Ziyu

• Academy of Arts and Films, Chengdu University, Chengdu 610106, China

autor

Wen Xiaotao

• Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China
• College of Geophysics, Chengdu University of Technology, Chengdu 610059, China

autor

Pan Shulin

• School of Earth Science and Technology, Southwest Petroleum University, Chengdu 610500, China

autor

Chen Jing-yi

• Seismic Anisotropy Group, Department of Geosciences, The University of Tulsa, Tulsa, OK 74104, USA

autor

Gou Qiyong

• Shale Gas Research Institute, PetroChina Southwest Oil and Gasfeld Company, Chengdu 610051, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).