Seismic inversion and reservoir characterisation are complementary methodologies that jointly address the challenge of transforming seismic reflection data into quantitative models of subsurface ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly transforming how scientists image the Earth’s shallow and crustal structures.

In a release sent to Rigzone on Tuesday, Eliis SAS announced that it has entered into a collaboration agreement with Chevron Corporation to develop and commercialize advanced Artificial-Intelligence ...

Purpose: Seismic inversion transforms band-limited reflection data into quantitative rock-property models (acoustic/elastic impedance, Vp, Vs, density) to predict lithology, fluids, and reservoir ...

Seismic inversion techniques have become instrumental in interpreting subsurface properties by converting seismic reflection data into quantitative rock physics parameters. With particular emphasis on ...