PREDICTIVE ENGINE FOR TRACKING SELECT SEISMIC VARIABLES AND PREDICTING HORIZONS

• Main Authors: BAINES, Graham, SERVAIS, Marc Paul, POSSEE, Daniel James
• Format: Patent
• Language: English
• Published: 30.06.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

An apparatus for processing seismic data variables comprising a tracking module and an interpretation module. The tracking module selects groupings of subsurface data variables from the seismic data variables, selects a subsurface data variable for each grouping, and determines an isochron variable for each subsurface data variable for each grouping. Each grouping of subsurface data variables has spatial coordinates values. The interpretation module predicts a horizon variable for each grouping using the isochron variable and an algorithmic model or trained algorithmic. The interpretation module predicts a horizon variable using the isochron variable for each grouping and a trained algorithmic model. The tracking module selects the subsurface data variable for each grouping based on a peak, trough or zero-crossing identified in the grouping. The trained algorithmic model uses multivariate classification or multivariate linear regression analysis using the isochron variables and associated seismic data variables against a dataset to predict the horizons.