Abstract
This chapter mainly covers the reservoir prediction and evaluation technique for different complex reservoirs. Reservoir lateral prediction and vertical resolution of reservoir prediction through applying fracture prediction and geostatistical inversion techniques are highly improved. Multiple types of new logging technology are integrated for reservoir evaluation. Complex reservoir rock physics evaluation is performed based on high-precision core experiment and quantitative logging interpretation in this chapter. Innovative log interpretation charts for metamorphic rocks lithology identification are also presented, such as GR-DEN crossplot and impedance-resistivity crossplot. Complex reservoirs are discussed in the chapter including clastic, carbonate reservoirs, and metamorphic reservoirs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen Q, Sidney S. 1997. Advances in seismic attribute technology. SEG Technical Program Expanded Abstracts, 16: 730–733.
Jin B, Huang X X, Chang G F, et al. 2014. Types and distribution of Carfoniferous carbonate reservoirs in southern Д Area of Pre-Caspain Basin. Journal of Jilin University: Earth Science Edition, 44 (6): 2024–2050.
Li J. A brief tutorial on magmatic and metamorphic rocks. 2008. Beijing: Petroleum Industry Press.
Li A S, Yin X Y, Zhang F C, et al. 2007. Application of prestack AVA multi-parameter synchronous inversion technology in gas-bearing reservoir prediction. Geophysical Prospecting For Petroleum, 46 (1): 64–68.
Lin C S, Liu J Y, Liu L J, et al. 2002. High resolution sequence stratigraphy analysis: construction of chronostratigraphic sequence. Geoscience—Journal of Graduate School, China University of Geosciences, 16 (3): 276–281.
Liu C H, Ren J Y. 2006. Non-carbonate Buried Hill Reservoir in Jiyang Depression. Beijing: Petroleum Industry Press.
Liu X B, Lin J C, Han C M, et al. 2002. Present Conditions and Prospects of the Researches on Seismic Reservoir. Acta Geoscientica Sinica, 23 (1): 73–78.
Liu C, Guo K, Luo DJ. 2007. A non-linear modelling method for seise data optimization and forecasting physics property parameter. Progress in Geophysics, 22 (6): 1880–1883.
Liu B H, Li J H, Wei X D, et al. 2009. The application of Stochastic seismic inversion in reservoir prediction. Progress in Geophysics, 24 (2): 581–589.
Liu H, Xin R C. 2013. Oil and gas reservoir seismic comprehensive prediction technology and application. Wuhan: China University of Geosciences Press, 1–10.
Sun S M, Peng S M. 2007. Geostatisticalal inversion method and its application in the prediction of thin reservoir. Journal of Xi’an Shiyou University (Natural Science Edition), 22 (1): 41–44, 48.
Torres-VerdÃn C, Chunduru R K, Mezzatesta A G. 2003. Integrated interpretation of wireline and 3D seismic data to delineate thin oil-producing sands in San Jorge Basin, Argentina. Spe Reservoir Evaluation & Engineering, 6 (6) : 369–375.
Yong T S, Yang R Q, Guan W D, et al. 2003. Formation division and sedimentary characteristics of Carboniferous in Zanazor Oilfield. Xinjiang Petroleum Geology, 24 (1): 92–95.
Zhang Y H. 2009. Study and application of seismic inversion in reservoir prediction. Xian: Chang’an University.
Zhang S B, Sheng H, Jin B, et al. 2015. Dolomitization in Carboniferous carbonate reservoir in southern Zahnanor Oilfield in eastern margin of Pre-Caspian Basin. Xinjiang Petroleum Geology, 36 (2): 244–248.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Petroleum Industry Press and Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Cheng, X., Fan, L., Gu, W. (2019). Comprehensive Practice of Reservoir Prediction and Evaluation. In: Comprehensive Practice of Exploration and Evaluation Techniques in Complex Reservoirs. Springer, Singapore. https://doi.org/10.1007/978-981-13-6431-0_3
Download citation
DOI: https://doi.org/10.1007/978-981-13-6431-0_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6430-3
Online ISBN: 978-981-13-6431-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)