A constrained spectral inversion method based on compressive sensing in order to distinguish high-quality shale

作者：Zhang, Hua^*; He, Zhenhua; Li, Yalin; Li, Rui; He, Guangming

来源：Exploration Geophysics, 2018, 49(5): 782-791.

DOI：10.1071/EG17055

• compressed sensing
• inversion
• resolution
• shale gas

Multi-wave exploration has become one of the main means of unconventional shale gas exploration in the Sichuan Basin, China. How to effectively improve the resolution of the shale gas reservoir layer and distinguish high-quality shale has become one of the difficulties for shale gas exploration. The spectral inversion technology can effectively break the resolution limit of the conventional technology and greatly improve the resolution of the thin shale layer; however, it also needs enough prior information to overcome the problem of multiple solutions in the inversion. The compressed sensing (CS) theory has the ability to reconstruct complete data using incomplete data can use less data information to improve the accuracy of spectral inversion. A novel constrained spectral inversion method based on CS is presented to handle these situations. The CS technique is applied to the objective function of spectral inversion, which can improve the accuracy of the spectral inversion algorithm and create profiles with a higher resolution and greater continuity. Applications through theoretical and real data can illustrate very high performance of the presented algorithm.

• 出版日期2018-10
• 单位成都理工大学