Using core, logging and other data, combined with field outcrop deposition, this paper studies the sedimentary genetic types and sedimentary stages of thick sandy braided river interlayer in C oilfield, and divides two stages of interlayer and three single-stage braided flow zones. On this basis, geostatistical inversion constrained by logging and discerning River quantitative knowledge base is carried out to predict the distribution range of the main interlayer in the two phases. The production performance test of the blind well and horizontal well shows that the coincidence rate of the prediction results of interlayer with thickness > 1.5 m is 75%. The research shows that the first stage is the main interlayer, mainly composed of mudstone of flood plain origin, with an average thickness of 2.1 m and relatively stable distribution. Based on the interlayer prediction results, the small layer of composite sand body 1 forms a residual oil enrichment area in the high part of the structure due to the wide range of interlayer shielding in the lower part, which is a favorable area for adjusting and tapping potential.
References
[1]
Dang, S.G., Feng, X., Yan, J.L., et al. (2015) Interlayer Research Application in Horizontal Well Development of Thick Bottom Water Reservoir—A Case of Massive Sand in Caofeidian 11-6 Oilfield. Petroleum Geology and Recovery Efficiency, 22, 63-67.
[2]
Dang, S.G. (2015) Micro-Series of Strata Development Technique of Scale Horizontal Well Pattern for Low Amplitude Strong Bottom Water Oil Reservoir. Special Oil and Gas Reservoir, 22, 118-121.
[3]
Zhou, Z.W., Si, C.S. and Yang, M.Y. (2010) Genesis and Distribution of Interlayer and Its Influence on Oil-Water Distribution—Taking Mobei Area of Mosuo Bay in the Hinterland of Junggar Basin as an Example. Lithologic Reservoirs, 22, 66-70.
[4]
Wen, L.F., Wu, S.H. and Yue, D.L. (2016) A New Distribution Model of Argillaceous Intercalation in the Center Beach of Coarse-Grained Braided River—Taking the Field Outcrop in Wuguantun as an Example. Petroleum Geology and Engineering, 30, 5-7.
[5]
Liu, Y.M., Hou, J.G., Song, B.Q., et al. (2011) Characterization of Interlayer in Thick sand Layer of Liu Yuming Braided River—Taking Lamadian Oilfield in Daqing as an Example. Journal of Petroleum, 32, 836-841.
[6]
Yuan, X.T., Wu, X.H., Zhang, X.Z., et al. (2013) Sedimentary Genesis and Inter Well Prediction of Interlayer in Braided River Reservoir in Fula Oilfield, Sudan. Journal of China University of Petroleum (Natural Science Edition), 37, 8-12.
[7]
Pan, S.J., Dai, Z., Liu, W.X., et al. (2018) Quantitative Characterization and Development Significance of Interlayer in Super Thick Marine Sandstone in L Oilfield. Petroleum Geology and Engineering, 32, 68-72.
[8]
Li, H.Y., Gao, Y., Wang, Y.J., et al. (2015) Intercalation Pattern and Its Impact on Development of Braided River Reservoirs: A Case of Fengcheng Oilfield, Junggar Basin, NW China. Petroleum Exploration and Development, 42, 364-373.
https://doi.org/10.1016/S1876-3804(15)30031-8
[9]
Yan, Y.Z. and Duan, T.X. (2008) Interlayer Identification and Inter Well Prediction Technology in Thick Oil Reservoir. Lithologic Reservoir, 20, 127-131.
[10]
Zhu, Y.D., Li, W., Wang, Y.S., et al. (2020) Fine Reservoir Description Technology and Its Application in Offshore Ultra-High Water Cut Oilfield—Taking Sea Land Transition Phase A Reservoir in Lufeng Oilfield as an Example. China Offshore Oil and Gas, 32, 91-99.
[11]
Sun, T.J., Mu, L.X. and Zhao, G.L. (2014) Classification and Characterization of Barrier-Intercalation in Sandy Braided River Reservoirs: Taking Hegli Oilfield of Muglad Basin in Sudan as an Example. Petroleum Exploration and Development, 41, 112-120. https://doi.org/10.1016/S1876-3804(14)60015-X
[12]
Wang, M., Zhao, G.L., Sun, T.J., et al. (2017) Hierarchical Structure Characteristics of Braided and Wandering Braided River Interlayer. Journal of Southwest Petroleum University (Natural Science Edition), 39, 112-120.
[13]
Quan, B., Hou, D.M., Mu, S.R., et al. (2020) Study on Spatial Distribution of Braided River Reservoir Configuration Units Based on Horizontal Well Information. China Offshore Oil and Gas, 32, 96-103.
[14]
Wang, Y.C. and Wang, L. (2013) Application of Geostatistical Inversion in Reservoir Prediction in Xingbeixi Slope Area. Advances in Geophysics, 28, 2554-2560.
[15]
Rothman, D.H. (1998) Geostatistical Inversion of 3D Seismic Data for Thin Sand Delineation. Geophysics, 51, 332-346. https://doi.org/10.1190/1.1442092
[16]
Dubrule, O., Thibaut, M., Lamy, P., et al. (1998) Geostatistical Reservoir Aracterization Constrained by 3D Seismic Data. Petroleum Geoscience, 4, 121-128.
https://doi.org/10.1144/petgeo.4.2.121
[17]
Li, B.Y., Huang, X., Wang, W., et al. (2020) High Resolution Channel Identification and Thin Layer Prediction Based on Prestack Geostatistical Inversion—A Case Study of B Gas Field in the East China Sea. Journal of Engineering Geophysics, 17, 10-12.
[18]
Zhao, L. (2009) Application of Markov Chain Monte Carlo Simulation in Reservoir Inversion. Journal of Petroleum and Natural Gas, 31, 249-252.
