Abstract
In Anda-Songzhan area, the dense sandy gravel of Shahezi formation is generally gas-bearing, which is a key field of natural-gas reserve replacement in Songliao Basin. However, the resolution of deep seismic data is low, so it is difficult to meet the accuracy requirements of dessert prediction in unconventional reservoirs. On the basis of amplitude-preserving imaging processing, we count the global wavelet for poststack anti-Q filtered seismic records, get the global filter operator by shaping the global wavelet with the expected output wavelet, and obtain the seismic records of frequency extension by making convolution the operator with the poststack data. After processing, the main frequency of data is increased by 14 Hz, and the average coincidence rate of sandstone “dessert area” selected by combining multiple attributes with relative wave impedance inversion is increased from 67 to 80%. It supports the deployment of 7 exploration wells in this area and provides strong technical support for increasing storage and production in unconventional fields.
Copyright 2018, Shaanxi Petroleum Society.
This paper was prepared for presentation at the 2018 International Field Exploration and Development Conference in Xi’an, China, 18–20 September, 2018.
This paper was selected for presentation by the IFEDC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC Committee and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Committee, its members. Papers presented at the Conference are subject to publication review by Professional Committee of Petroleum Engineering of Shaanxi Petroleum Society. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of Shaanxi Petroleum Society is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC. Contact email: paper@ifedc.org.
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Deng, Hw., Bao, Y., Pei, Jy., Lan, Ht., Ding, Jf. (2020). Spectral Shaping Technology and its Application for Dense-Gas Dessert Prediction on Songliao Basin. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2018. IFEDC 2018. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-7127-1_49
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DOI: https://doi.org/10.1007/978-981-13-7127-1_49
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