Identification and quantitative characterization of igneous rocks: Method and application in the north Huimin Sag
Jian Zhang, Zandong Sun, Youshun Sun, Haijiang Zhang, Nafi Toksöz
Abstract
Jian Zhang, Zandong Sun, Youshun Sun, Haijiang Zhang, Nafi Toksöz
Abstract
Identification and characterization of igneous rocks have been a challenge in seismic exploration in the areas with igneous rocks. In this study, a method has been developed to accurately identify and describe igneous rocks and therefore improve oil and gas reservoir prediction in the igneous region. Based on geology, drilling, seismic, logging and other available information, forward igneous rock models are developed and igneous rock boundaries are identified and characterized using seismic attributes analysis. Thickness, area size, and volume of igneous rocks are estimated using the tuning thickness method and the top-bottom subtraction method. The obtained information of igneous rock distribution is used to characterize hydrocarbon reservoirs. In the north Huimin Sag, drilling results correlate well with the inversion results, indicating that accurate information of igneous rock distribution effectively improves the reservoir prediction.
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Identification and characterization of igneous rocks have been a challenge in seismic exploration in the areas with igneous rocks. In this study, a method has been developed to accurately identify and describe igneous rocks and therefore improve oil and gas reservoir prediction in the igneous region. Based on geology, drilling, seismic, logging and other available information, forward igneous rock models are developed and igneous rock boundaries are identified and characterized using seismic attributes analysis. Thickness, area size, and volume of igneous rocks are estimated using the tuning thickness method and the top-bottom subtraction method. The obtained information of igneous rock distribution is used to characterize hydrocarbon reservoirs. In the north Huimin Sag, drilling results correlate well with the inversion results, indicating that accurate information of igneous rock distribution effectively improves the reservoir prediction.
Key concepts: Igneous rock, Geology, Igneous petrology, Drilling, Volcanic rock, Prospecting, Volcano, Geochemistry