This article presents both a history of seismic inversion and an overview of the techniques themselves, illustrated by a case study from the Gulf of Mexico. We have now progressed to the point where inversion for P-impedance, S-impedance and density is feasible. The reason for this is that the P and S-wave response of the subsurface is sufficiently different to allow us to see the difference between fluid and lithology effects. To perform a less ambiguous interpretation of our inversion results, we must perform full elastic inversion, in which we estimate P-impedance, S-impedance (the product of density and S-wave velocity) and density. However, these predictions were somewhat ambiguous since P-impedance is sensitive to lithology, fluid and porosity effects, and it is difficult to separate the influence of each effect. Early inversion techniques transformed the seismic data into P-impedance (the product of density and P-wave velocity), from which we were able to make predictions about lithology and porosity. Throughout their long and distinguished careers they have made outstanding contributions to our industry and shown a true, inspirational passion for the advancement of geophysics.Seismic inversion is a technique that has been in use by geophysicists for almost forty years. They generously give of their time and expertise to important industry organizations and the wider geoscience community and thoroughly deserve the recognition they receive.”Ĭolin Murdoch, executive V.P., GeoScience, CGG said, “On behalf of CGG, I would like to congratulate Brian and Dan on being the honorees at the GSH-SEG Spring Symposium. Kamal al-Yahya, senior V.P., GeoSoftware & Smart Data Solutions, said: “Throughout their long careers, Brian and Dan have shown unstinting dedication to innovation and the advancement of our geophysical industry. He is currently investigating the use of Deep Neural Networks to enhance and extend the inversion process. Dan is the originator of several innovations in the field of seismic processing, including the Generalized Linear Inverse approach to refraction statics analysis and the Parabolic Radon Transform noise and multiple attenuation algorithm. Brian Russell is an internationally recognized expert in seismic inversion, amplitude variation with offset (AVO), and seismic attribute analysis, and provides training courses on these subjects throughout the world. It now delivers deep learning in the form of Deep Feed-forward Neural Networks for more detailed prediction of reservoir properties.ĭan and Brian founded Hampson-Russell Software in 1987 and, as vice presidents within CGG GeoSoftware, continue to guide its strategy and the development of reservoir characterization software. GeoSoftware’s HampsonRussell Emerge technology has implemented machine learning methods for over 20 years to address complex geological challenges. Brian Russell will speak at the event about the ‘History of Inversion’ while Jon Downton, senior research advisor for CGG GeoSoftware, will give a technical talk on the latest innovations in ‘Machine Learning Inversion’. The theme of this year’s GSH-SEG Symposium, held April 16-17 in Houston, USA, is ‘The Resurgence of Seismic Inversion’. PARIS - Dan Hampson and Brian Russell from GeoSoftware, part of CGG’s Geoscience Division, are being honored for their groundbreaking achievements in geophysics by the Geophysical Society of Houston and the Society of Exploration Geophysicists at their jointly sponsored 2019 GSH-SEG Spring Symposium and Exhibition being held in Houston this week.
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