Application of multi-attribute fusion in quantitative prediction of reservoirs: A case study of Yangshuiwu buried hill in Langgu sag
WANG Cheng-Quan1(), WANG Meng-Hua1, ZHOU Jia-Yi2, WANG Sheng-Liang3, YANG Zhou-Peng1, LIU Hui1, ZHANG Hong-Wen1
1. Exploration and Development Research Institute,Huabei Oilfield Company,PetroChina,Renqiu 062552,China 2. Sulige Exploration and Development Branch of Huabei Oilfield,Renqiu 062552,China 3. Bayan Exploration and Development Branch,Huabei Oilfield Company,PetroChina,Renqiu 062552,China
The Yangshuiwu buried hill is located in the northern part of the Langgu sag,where fractured porous reservoirs are well developed.As indicated by comprehensive geological studies,it is in the direction favorable for hydrocarbon migration and accumulation.However,owing to the deep reservoirs and low imaging accuracy of seismic data,it is difficult to predict effective reservoirs using conventional attributes and the obtained prediction results feature strong multiplicity of solution.Based on full analyses of the geophysical response characteristics of existing drilled wells,this study selects three optimal attributes sensitive to the response of effective reservoirs,namely mean amplitude,variance,and arc length,and calculates the correlation coefficient between the thickness of effective reservoirs and each of the optimal attributes.Then it determines the fusion weight of each attribute according to corresponding correlation coefficient,and finally obtains the fused attribute than can reflect the thickness of effective reservoirs.The fused attribute can be used to effectively reduce the multiplicity of solution compared with single attribute prediction and quantitatively predict effective reservoirs.Practice has proved that the multi-attribute fusion technology is effective and practical and has achieved accurate application results in the Yangshuiwu buried hill.
王成泉, 王孟华, 周佳宜, 王盛亮, 杨洲鹏, 刘慧, 张红文. 多属性融合定量储层预测方法研究与应用——以廊固凹陷杨税务潜山为例[J]. 物探与化探, 2022, 46(1): 87-95.
WANG Cheng-Quan, WANG Meng-Hua, ZHOU Jia-Yi, WANG Sheng-Liang, YANG Zhou-Peng, LIU Hui, ZHANG Hong-Wen. Application of multi-attribute fusion in quantitative prediction of reservoirs: A case study of Yangshuiwu buried hill in Langgu sag. Geophysical and Geochemical Exploration, 2022, 46(1): 87-95.
Du J H, He H Q, Zhao X Z, et al. Significant exploration breakthrough in Yangshuiwu ultra-deep and ultra-high temperature Ordovician buried-hill in Langgu sag Bohai Bay Basin[J]. China Petroleum Exploration, 2017,22(2):1-12.
Wu W T, Gao X Z, Li L, et al. Favorable conditions formed in large scale buried-hill reservoir in Bohai Bay Basin[J]. Special Oil and Gas Reservoirs, 2015,22(2):22-26.
He D F, Cui Y Q, Zhang Y Y, et al. Structural genetic types of paleo-buried hill in Jizhong depression,Bohai Bay Basin[J]. Acta Petrologica Sinica, 2017,33(4):1338-1356.
Zhao X Z, Jin F M, Wang Q, et al. Exploration and discovery of subtle deep buried hill and buried hill inner-curtain hydrocarbon reservoir in Jizhong Sag[J]. China Petroleum Exploration, 2014,19(1):10-21.
Yi Y P, Gui Z X, Feng G, et al. The application of curvature properties in micro fracture system researching[J]. Science Technology and Engineering, 2017,17(11):175-182.
Wang J Q, Yang X D, Tian Z B, et al. A coal seam thickness prediction method based on seismic spectral attribute[J]. Geophysical and Geochemical Exploration, 2017,41(2):364-368.
Zhang P P, Qing D H. Application of bright spot containing hydrocarbon in oil and gas identification of Ming Huazhen Formation in Bohai Huang Hekou depression[J]. Geophysical and Geochemical Exploration, 2017,41(4):684-688.
Diao X D, Li Y T, Gu W X, et al. A study of seismic prediction method of underwater distributary channel sandbody in delta:A case study of the Tahe Oilfied[J]. Geophysical and Geochemical Exploration, 2018,42(3):569-575.
Ming J, Xia Q L, Zhou D H, et al. Study of seismic prediction technology for buried hill fractured reservoir of Jinzhounan oilfield[J]. China Petroleum Exploration, 2014,19(1):60-64.
Chen Z G, Liu L S, Gao J, et al. Application of cloud transform to prediction of H oilfield Carbonate reservoirs in Middle East[J]. Xinjiang Petroleum Geology, 2016,37(1):107-110.
Han C, Chen M J, Zhao H, et al. The application of analysis technology of modern volumetric attributes to the exploration of weathering crust reservoir:A case study of M531 Sub-members of Ordovician Majiagou Formation in TAO7 Block,the Sulige Gas field[J]. Geophysical and Geochemical Exploration, 2016,40(3):445-451.
Wang G Q, Zhou X K, Zhu H. Prediction of Carbonate reservoir by sedimentary facies combined with geophysical attributes—A case study of oil-bearing structures in Dongsha Uplift ZJ33-1[J]. Petroleum Geology and Engineering, 2017,31(1):48-51.
Xian Q, Cai Z D, Wang Z J, et al. Application of AVO in hydrocarbon detection at Tazhong area[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2017,39(2):260-265.
Chen D Y, Zhang B W, Yue H Y, et al. The application of geostatistical inversion based on characteristic curve structuring technology to thin sand body reservoir prediction[J]. Geophysical and Geochemical Exploration, 2018,42(5):999-1005.
Shu N K, Wang X W, Song L, et al. Fracture prediction of sand-gravel body by multi-attribute fusion based on seismic imaging theory:A case study of the third member of Shahejie Formation in northern zone of Chexi area in Jiyang depression[J]. Petroleum Geology and Recovery Efficiency, 2016,23(2):57-61.
Yao W, Wu C L, Shi Y P, et al. Sedimentary characteristics research on lower Cretaceous in Honghaoershute Depression using seismic multi-attribute fusion[J]. Oil Geophysical Prospecting, 2013,48(4):634-642.
[17]
郭彪. 川南某工区地震属性多尺度融合方法及油气检测研究[D]. 成都: 成都理工大学, 2016.
[17]
Guo B. Study on detection method of oil and gas in southern Sichuan seismic attribute a multi-scale fusion[D]. Chengdu:Chengdu University of Technology, 2016.