Paper Info
Title
Exploiting 3D Spatial Continuity for Robust Automatic Horizon Matching across Faults
Abstract
Oil and gas exploration decisions are made based on inferences obtained from seismic data interpretation. The interpretation task is getting very time-consuming as seismic data sets become larger. Image processing tools such as auto-trackers assist manual interpretation of horizons-visible boundaries between certain sediment layers in seismic data. Auto-trackers assume data continuities; therefore, their assistance is very limited in areas of discontinuities such as faults. In this paper, we present a method for automatic horizon matching across faults based on a Bayesian approach. A stochastic matching model which integrates 3d spatial information of seismic data and prior geological knowledge is introduced. The optimal matching solution is found by MAP estimate of this model. A simulated annealing with reversible jump Markov Chain Monte Carlo algorithm is employed to sample from a-posteriori distribution. The model was applied to real 3d seismic data, and has shown to produce geologically acceptable horizons matchings.
Year
DOI
Venue
2006
10.1109/3DPVT.2006.57
Chapel Hill, NC
Keywords
Field
DocType
markov chain monte carlo,map estimate,manual interpretation,stochastic matching model,optimal matching solution,bayesian approach,robust automatic horizon matching,seismic data interpretation,spatial continuity,data continuity,seismic data,interpretation task,geology,tracking,data interpretation,robustness,monte carlo methods,oil and gas,maximum likelihood estimation,seismology,bayesian methods,image processing,spatial information,stochastic processes,markov processes,sediments,simulated annealing,optimal matching,petroleum
Spatial analysis,Simulated annealing,Data set,Mathematical optimization,Markov process,Optimal matching,Computer science,Reversible-jump Markov chain Monte Carlo,Image processing,Algorithm,Maximum a posteriori estimation
Conference
ISBN
Citations 
PageRank 
0-7695-2825-2
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Fitsum Admasu182.73
Klaus Toennies242.09