Recognition technology integrating logging and seismic data for thin sand reservoir in narrow channel and its application: Taking the AGL area in western Daqing placanticline as an example
YANG Chunsheng1,2, JIANG Yan2, SONG Baoquan2, WANG Gaowen2, ZHANG Xiuli2
1. School of Earth Sciences, Northeast Petroleum University, Daqing, Heilongjiang 163318, China; 2. Research Institute of Exploration and Development, Daqing Oilfield Company, PetroChina, Daqing, Heilongjiang 163712, China
Abstract：A small-scale sand body reservoir develops in the subaqueous distributary channel in front of the delta in the Saling oil group of the AGL area in the western Daqing placanticline. The delta front witnesses the thin interbedded deposition of sand shale. The channel is narrow, and sand bodies feature thin thickness and fast sedimentary facies transition. These make reservoir prediction challenging. In response, this paper proposes a recognition technology integrating logging and seismic data for the thin sand reservoir in the narrow channel of the study area. First, three seismic response models are established for the sand bodies in the narrow channel through the analysis of the forward model close to the underground geologic structure with seismic data under the control of a fine stratigraphic framework. Then according to the sequence from point to plane and then to volume, we calibrate the reflection characteristics of sand bodies in the narrow channel with logging data, trace the boundary and trend of the channel with the seismic attribute in the plane, analyze the sedimentary period and evolution law of the narrow channel on the three-dimensional (3D) seismic data volume, and qualitatively describe the distribution characteristics of the narrow channel. Finally, depending on the known seismic reflection waveform characteristics in wells and sandstone thickness, we perform the quantitative thickness prediction regarding the thin sand reservoir in the channel based on waveform pattern recognition with the correlation analysis method. This technology is applied to deploy 9 development wells in TA2 block without well control in the AGL area in western Daqing placanticline. After drilling, the consistency of channel prediction reaches 100%. The relative error of sand body thickness is 9.6%, and the maximum daily oil production of a single well reaches 4.1t. This research is capable of guiding the hydrocarbon exploration and development in the surrounding areas of old oilfields and achieves the goal of increasing reserves and production.
杨春生, 姜岩, 宋宝权, 王高文, 张秀丽. 小河道薄砂层井震联合识别技术及应用——以大庆长垣西部AGL地区为例[J]. 石油地球物理勘探, 2022, 57(1): 159-167.
YANG Chunsheng, JIANG Yan, SONG Baoquan, WANG Gaowen, ZHANG Xiuli. Recognition technology integrating logging and seismic data for thin sand reservoir in narrow channel and its application: Taking the AGL area in western Daqing placanticline as an example. Oil Geophysical Prospecting, 2022, 57(1): 159-167.
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