Identification of micro fault opening in sweet-spot member of Lucaogou Formation in Jimusar Sag of Junggar Basin by maximum positive and negative curvature
LI Wei1, CHEN Gang1,2, WANG Dongxue3, HAN Bao1, WANG Zhenlin1,2, QI Hongyan1
1. Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China; 2. Unconventional Oil and Gas Science and Technology Research Institute, China University of Petroleum(Beijing), Beijing 102249, China; 3. Department of Reservoir Evaluation, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China
Abstract：Micro faults are richly developed in the sweet-spot member of Lucaogou Formation in the Jimusar Sag, which seriously affects the development effect. In the past, only conventional logging, imaging logging, and field outcrops were used to identify micro faults, which was limited to single-well fracture identification, and the plane distribution patterns of micro faults could not be effectively obtained. At present, the geometric characteristics of waveforms calculated by pre-stack/post-stack seismic data are mainly employed to identify faults, but this method has high requirements for the signal-to-noise ratio of seismic data and can hardly predict the opening of faults. Therefore, this paper proposes to obtain the maximum positive and negative curvature attributes by the Kalman filter technology based on horizontal and vertical combinations. Meanwhile, the fault opening is studied in combination with the information of real drilling lost circulation, fracturing disturbance, and formation dip angles. The specific process is as follows:Firstly, the Kalman filter technology based on horizontal and vertical combinations is applied to filter the original seismic data. Due to the weak fault anisotropy, the filtered seismic data is not processed in different directions to ensure that the data has a high signal-to-noise ra-tio, and the maximum positive and negative curvature volumes are directly obtained. Secondly, the plane curvature attribute of the sweet-spot member is extracted by using structural interpretation layers to identify faults and fault plane combinations. Thirdly, according to the identified fault, the well trajectory data near the breakpoint such as drilling lost circulation, fracturing disturbance, and formation dip angles, are counted. Finally, the relationships between the curvature type, curvature value, and fault strikes and drilling lost circulation, fracturing disturbance, and formation dip angles are calculated. The following conclusions are drawn:①Most of the NE-SW trending faults with the maximum positive curvature of greater than 500ft-1 are open faults, and most of the NW-SE and NE-SW trending faults with the maximum positive curvature of about 300ft-1 are semi-open faults; most of the near NS and NE-SW trending faults with the maximum negative curvature absolute value of greater than 300ft-1 are closed faults. ②The formation dip angle near the fault changes greatly, and a greater curvature value leads to a greater angle change.
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