Received (to be inserted Revised by Publisher) 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...

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 Wor...

Seismic Inversion methods have been routinely used for estimating attributes like P-impedance, Simpedance, density, ratio of P-wave and S-wave velocity and elastic impedances from seismic and well log data. These attributes help to understand lithology and fluid contents in the subsurface. The objective of this research is to use several standard seismic post-stack inversion methods for reservo...

Sparse inversion and classification problems are ubiquitous in modern data science imaging. They often formulated as non-smooth minimisation problems. In sparse inversion, we minimise, e.g., the sum of a fidelity term an L1/LASSO regulariser. classification, consider, Ginzburg--Landau energy. Standard (sub)gradient descent methods have shown to be inefficient when approaching such Splitting tec...

In exploration geophysics, seismic impedance is a physical characteristic parameter of underground formations. It can mark rock characteristics and help stratigraphic analysis. Hence, data inversion for key technology in oil gas reservoir prediction. To invert from data, one perform reflectivity series first. Then, under simple exponential integration transformation, the inverted give final imp...