Abstract
The conventional sedimentary microfacies analysis is based on the characteristics of logging facies. After years of field practice, it has achieved good results, but it is difficult to characterize the thin and narrow channel sand body under the condition of thin well pattern. In this paper, taking the T oil layer in S area of Songliao Basin as an example, the sedimentary microfacies combined with well and earthquake are finely characterized by using the RGB frequency division fusion technology of seismic attributes and the tuning response characteristics of high-frequency components of seismic attributes to thin layers. The results show that: 1) the seismic attribute RGB frequency division fusion technology has a good prediction effect on the distributary channel sand body of T reservoir. A total of 8 distributary channels are identified in two RGB attribute slices of upper and lower sandstone formations. 2) T oil layer in the study area is a shallow water delta sedimentary system. Reservoir T in the study area is a shallow water delta sedimentary system, and the distributary channel sand body under the control of northern provenance is continuously developed and small in scale. There are mainly 5 sedimentary microfacies: distributary channel, overflow sand, sheet sand, sand bar and distributary bay. 3) T oil layer has experienced the vertical evolution process of water retreat before water advance. The development scale of distributary channel in TI42-TI6 time unit in the maximum period of water retreat in the middle is the largest, which is the main horizon for the development of high-quality reservoir.
Copyright 2022, IFEDC Organizing Committee
This paper was prepared for presentation at the 2022 International Field Exploration and Development Conference in Xi’an, China, 16-18 November 2022.
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 Technical Team and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Technical Committee its members. Papers pre-sented at the Conference are subject to publication review by Professional Team of IFEDC Technical Committee. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of IFEDC Organizing Committee 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: pa-per@ifedc.org.
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The project is supported by National Natural Science Foundation (Number 42172161).
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Zhang, X. (2023). Fine Characterization of Sedimentary Microfacies Based on RGB Frequency Division Fusion Technology of Seismic Attributes. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2022. IFEDC 2022. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-1964-2_114
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