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王豆豆1,2 王守东2 邹少峰1 高艳霞1 刘晗1

(1.中国石化石油物探技术研究院, 江苏南京 211103)
(2.中国石油大学(北京)油气资源与探测国家重点实验室, 北京 102249)


【关键词】 逆散射;对比源反演;频率域声波方程;快速迭代收缩阈值算法;混合快速共轭梯度法;


【基金资助】 国家科技重大专项“不同缝洞储集体地震识别与预测技术”(2016ZX05014-001); 国家科技重大专项“宽方位地震数据规则化与有效信号增强方法研究与应用”(2016ZX05024-001-004);

Finite-difference contrast source inversion based on hybrid fast conjugate gradient method

WANG Doudou1,2 WANG Shoudong2 ZOU Shaofeng1 GAO Yanxia1 LIU Han1

(1.SINOPEC Geophysical Research Institute, Nanjing, Jiangsu Province, China 211103)
(2.State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China 102249)

【Abstract】Finite-difference contrast source inversion (FDCSI) is a solution to inverse scattering. The background model remains unchanged in the inversion, and forward modeling is performed for only one time; this reduces the workload of computation. FDCSI translates the problem of inverse scattering into that of optimization. The cost function is optimized with the conjugate gradient method, which suffers from a low convergence rate and low efficiency. After the study of FDCSI based on acoustic wave equation in frequency domain, we develop a FDCSI algorithm based on a hybrid fast conjugate gradient method to improve the efficiency of inversion. The hybrid fast conjugate gradient method is modified from the fast iterative shrinkage-thresholding algorithm and is feasible for FDCSI. The cost function could converge quickly without more computation in a single iteration; this guarantees fast and robust convergence of FDCSI.

【Keywords】 inverse scattering; contrast source inversion; acoustic wave equation in frequency domain; fast iterative shrinkage-thresholding algorithm; hybrid fast conjugate gradient method;


【Funds】 National Science and Technology Major Project of China (2016ZX05014-001); National Science and Technology Major Project of China (2016ZX05024-001-004);

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This Article


CN: 13-1095/TE

Vol 55, No. 02, Pages 351-359+231

April 2020


Article Outline


  • 0 Introduction
  • 1 Idea of FDCSI
  • 2 HFCG method
  • 3 Model tests
  • 4 Conclusion
  • References