Enhancing seismic-guided stratigraphic well correlation accuracy through seismic-related uncertainty integration

@inproceedings{Boucard2025RM,
 abstract = {Understanding the subsurface stratigraphy can be achieved by identifying stratigraphic markers having the same geological age from observation data along sparse wells. These stratigraphic markers are then correlated and used as input data to build geological models of the subsurface. In this work, we propose a method to integrate different sources of uncertainty into seismic-guided stratigraphic well correlation. This includes uncertainties related (1) to the seismic interpretation, (2) to the wavelet estimation, and (3) to the time-depth relationship during well-seismic tying. Both the seismic-well tying and the well correlation steps rely on the Dynamic Time Warping (DTW) algorithm using WeCo (computer-assisted multi-well correlations software developed by the RING Team). Multiple realizations of the well-to-seismic calibration are performed using a Monte Carlo sampling, resulting in a Gaussian mixture model of Relative Geological Time (RGT) at each depth level. These distributions are then compared using the Kullback-Leibler divergence to define a correlation cost, allowing seismic data and their uncertainties to be effectively incorporated into the well correlation process. The proposed method is applied on the open-source data NetherlandF3 (including a 3D post-stack seismic data and two wells) to evaluate its consistency.},
 author = {Boucard, Alexandre and Caumon, Guillaume and Baville, Paul},
 booktitle = {2025 {RING} meeting},
 language = {en},
 pages = {57--73},
 publisher = {ASGA},
 title = {Enhancing seismic-guided stratigraphic well correlation accuracy through seismic-related uncertainty integration},
 year = {2025}
}