Broadband Geo Acoustic Inversion from Sparse Data Using Genetic Algorithms

Matched eld acoustic inversion techniques were investigated using data from sparsely populated vertical receiving arrays and a single receiver element The purpose of considering sparse data sets is to investigate under simulation the feasibility of reducing the number and complexity of acoustic measurements needed for geo acoustic inversion The entire bandwidth of the Geo Acoustic Inversion Workshop provided data Hz was used which compensates for lacking spatial information when a limited number of receivers is considered Forward model PROSIM and inversion code SAGA were applied to benchmark cases sd wa and n The inversion results generally showed good agreement with the ground truth for full arrays sparse arrays and single receiver elements With a simple two layer model an e ective sound speed pro le in the bottom was determined which produced a good t between model and observed pressure elds for the multi layer case n