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The application study on the multi-scales integrated prediction method to fractured reservoir description

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Abstract

In this paper, we implement three scales of fracture integrated prediction study by classifying it to macro- (> 1/4λ), meso- (> 1/100λ and < 1/4λ) and micro- (< 1/100λ) scales. Based on the multi-scales rock physics modelling technique, the seismic azimuthal anisotropy characteristic is analyzed for distinguishing the fractures of meso-scale. Furthermore, by integrating geological core fracture description, image well-logging fracture interpretation, seismic attributes macro-scale fracture prediction and core slice micro-scale fracture characterization, an comprehensive multi-scale fracture prediction methodology and technique workflow are proposed by using geology, well-logging and seismic multi-attributes. Firstly, utilizing the geology core slice observation (Fractures description) and image well-logging data interpretation results, the main governing factors of fracture development are obtained, and then the control factors of the development of regional macro-scale fractures are carried out via modelling of the tectonic stress field. For the meso-scale fracture description, the poststack geometric attributes are used to describe the macro-scale fracture as well, the prestack attenuation seismic attribute is used to predict the meso-scale fracture. Finally, by combining lithological statistic inversion with superposed results of faults, the relationship of the meso-scale fractures, lithology and faults can be reasonably interpreted and the cause of meso-scale fractures can be verified. The micro-scale fracture description is mainly implemented by using the electron microscope scanning of cores. Therefore, the development of fractures in reservoirs is assessed by valuating three classes of fracture prediction results. An integrated fracture prediction application to a real field in Sichuan basin, where limestone reservoir fractures developed, is implemented. The application results in the study area indicates that the proposed multi-scales integrated fracture prediction method and the technique procedureare able to deal with the strong heterogeneity and multi-scales problems in fracture prediction. Moreover, the multi-scale fracture prediction technique integrated with geology, well-logging and seismic multi-information can help improve the reservoir characterization and sweet-spots prediction for the fractured hydrocarbon reservoirs.

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Authors and Affiliations

  1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, 102249, China

    Shuang-Quan Chen, Lian-Bo Zeng, Wan-Lu Zhang & Xiang-Yang Li

  2. CNPC Key Laboratory of Geophysical Prospecting, China University of Petroleum, Beijing, 102249, China

    Shuang-Quan Chen, Wan-Lu Zhang & Xiang-Yang Li

  3. Research Institute of CNPC Southwest Oil and Gas Field Branch, Chengdu, 641500, China

    Ping Huang

  4. Geophysical Research Center, BGP, PetroChina, Zhuozhou, 072751, China

    Shao-Han Sun

  5. British Geological Survey, Edinburgh, EH9 3AZ, UK

    Xiang-Yang Li

Authors
  1. Shuang-Quan Chen
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  2. Lian-Bo Zeng
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  3. Ping Huang
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  4. Shao-Han Sun
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  5. Wan-Lu Zhang
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  6. Xiang-Yang Li
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Corresponding author

Correspondence to Shuang-Quan Chen.

Additional information

This research is supported by the national oil and gas major project (No. 2011ZX05019-008) and National Natural Science Foundation of China (No. 41574108 and U1262208), presented at the Exploration Geophysics Symposium 2015 of the EAGE Local Chapter China.

Chen Shuang-Quan, Ph.D, Associate Professor. He graduated from Daqing Petroleum Institute with a Bachelor Degree in geophysics in 1999, from China University of Petroleum (Beijing) with a Doctor Degree in Geo-resources and Geoengineering in 2008, and is undertaking teaching and research works now in the Department of Exploration Geophysics, College of Geophysics and Information Engineering, China University of Petroleum (Beijing). His research interesting includes multi-wave seismic exploration, seismic anisotropy, fracture prediction and seismic inversion.

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Chen, SQ., Zeng, LB., Huang, P. et al. The application study on the multi-scales integrated prediction method to fractured reservoir description. Appl. Geophys. 13, 80–92 (2016). https://doi.org/10.1007/s11770-016-0531-7

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  • DOI: https://doi.org/10.1007/s11770-016-0531-7

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