Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows

被引：93

作者：

Adler, Amir ^{[1
,2
,3
,4
,5
,6
]}

Araya-Polo, Mauricio ^{[7
,8
,9
,10
,11
]}

Poggio, Tomaso ^{[2
,12
,13
,14
,15
,16
]}

机构：

[1] Braude Coll Engn, Elect Engn Dept, IL-2161002 Karmiel, Israel

[2] MIT, McGovern Inst Brain Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[3] MIT, Ctr Brains Minds & Machines, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[4] MIT, Deep Learning Solut, Royal Dutch Shell, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[5] Minist Commun, Jerusalem, Israel

[6] NextWave Wireless Inc, Wi Fi Div, AT&T, San Diego, CA USA

[7] Total E&P RT, Houston, TX 77002 USA

[8] Rice Univ, Computat & Appl Math Dept, Houston, TX USA

[9] Shell Int E&P Inc, Geophys & Machine Learning Efforts, Tananger, Sola, Norway

[10] Repsol USA, Warrendale, PA USA

[11] Barcelona Supercomp Ctr, Kaleidoscope Project, Barcelona, Spain

[12] MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA

[13] MIT, Comp Sci & Artificial Inelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[14] MIT, Ctr Biol & Computat Learning, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[15] McGovern Inst, Ctr Brains Minds & Machines, Cambridge, MA USA

[16] MIT Quest Intelligence, Cambridge, MA USA

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2021年 / 38卷 / 02期

关键词：

Seismic measurements; Inverse problems; Earthquakes; Deep learning; Hydrocarbons; Hazards; Earth; Analytical models; Geophysical measurements; GENERATIVE ADVERSARIAL NETWORKS; WAVE-FORM INVERSION;

D O I：

10.1109/MSP.2020.3037429

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Seismic inversion is a fundamental tool in geophysical analysis, providing a window into Earth. In particular, it enables the reconstruction of large-scale subsurface Earth models for hydrocarbon exploration, mining, earthquake analysis, shallow hazard assessment, and other geophysical tasks.

引用

页码：89 / 119

页数：31

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