Petrophysical properties prediction of deep dolomite reservoir considering pore structure

• Autorzy: Gui Jinyong , Yin Xingyao , Jianhu Gao , Li Shengjun , Liu Bingyang

Identyfikatory

DOI

10.1007/s11600-022-00757-z

• Języki publikacji: EN

Abstrakty

EN

Prediction of petrophysical properties of deep dolomite reservoir using elastic parameter data is challenging and of great uncertainty. Changes in the petrophysical properties generally induce perturbations in elastic properties. Rock-physics model, which plays a role as a bridge between petrophysical properties and elastic properties, determines the accuracy of inversion for petrophysical properties using elastic properties. Different pore structures lead to variations of rock-physics relationships, and in dolomite reservoir, the influence of pore structure on elastic properties is larger than that of petrophysical properties. We first propose a statistical rock-physics model, in which we consider the effect of pore structure on the nonlinear rockphysical relationship between petrophysical properties and elastic properties of dolomite reservoirs. Then, we propose a Bayesian inversion approach of using elastic properties to predict petrophysical properties and use weight factors to address the difference in accuracy of the input elastic properties in the Bayesian inversion framework. Examples illustrate the proposed approach may produce petrophysical properties of high accuracy for deep dolomite reservoirs.

Słowa kluczowe

EN

petrophysical properties; pore structure; weight factor; accuracy difference of elastic properties; dolomite reservoir

PL

właściwości petrofizyczne; struktura porów; współczynnik wagi

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2022
• Tom: Vol. 70, no 4
• Strony: 1507--1518
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Gui Jinyong

• China University of Petroleum (East China), Qingdao 266580, China
• Research Institute of Petroleum Exploration & Development—Northwest, Petrochina, Lanzhou 730020, Gansu, China

• https://orcid.org/0000-0002-5983-2608

autor

Yin Xingyao

• China University of Petroleum (East China), Qingdao 266580, China

autor

Jianhu Gao

• Research Institute of Petroleum Exploration & Development—Northwest, Petrochina, Lanzhou 730020, Gansu, China

autor

Li Shengjun

• Research Institute of Petroleum Exploration & Development—Northwest, Petrochina, Lanzhou 730020, Gansu, China

autor

Liu Bingyang

• Research Institute of Petroleum Exploration & Development—Northwest, Petrochina, Lanzhou 730020, Gansu, China

Bibliografia

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Uwagi

Korekta artykułu w Acta Geophysica Vol. 70, no. 5/ 2022. Nr DOI korekty: 10.1007/s11600-022-00868-7

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).