A novel approach for salt dome detection and tracking using a hybrid hidden Markov model with an active contour model

Joint Authors

Liu, B.
Abu Absah, Ahmad Hamdi
Deriche, M.
Amin, A.

Source

Journal of Electrical Systems

Issue

Vol. 16, Issue 3 (30 Sep. 2020), pp.276-294, 19 p.

Publisher

Piercing Star House

Publication Date

2020-09-30

Country of Publication

Algeria

No. of Pages

19

Main Subjects

Science

Abstract EN

One of the most important tasks in seismic data interpretation is the detection of salt bodies since most of the important reservoirs are trapped around such bodies.

However, the accurate interpretation and analysis of such data depends heavily upon the robustness of the attributes/features used and the efficiency of the classification/segmentation stage.

In this paper, we present a novel salt dome detection and tracking algorithm which combines the Hidden Markov Model (HMM) with the Active Contour Model (ACM).

The HMM is used with a set of new features based on the Higher Order Singular Value Decomposition (HOSVD) of 3D seismic volumes to accurately delineate the boundaries of salt domes.

The model parameters of the HMM are estimated using the Expectation-Maximization (EM) algorithm.

The new HOSVD based features ensure that the proposed workflow overcomes the limitations of edge-based and texturebased methods.

Furthermore, in order to alleviate the computational burden of the HMM, an ACM is applied on consecutive seismic images to track the changes of the salt dome boundary across the 3D seismic volume.

We tested the proposed algorithm on real seismic data from the Netherlands offshore F3 block.

Our algorithm, with only a small set of features, produces excellent results as compared to existing edge-based, texture-based, and fusion-based methods.

American Psychological Association (APA)

Deriche, M.& Abu Absah, Ahmad Hamdi& Amin, A.& Liu, B.. 2020. A novel approach for salt dome detection and tracking using a hybrid hidden Markov model with an active contour model. Journal of Electrical Systems،Vol. 16, no. 3, pp.276-294.
https://search.emarefa.net/detail/BIM-987443

Modern Language Association (MLA)

Amin, A.…[et al.]. A novel approach for salt dome detection and tracking using a hybrid hidden Markov model with an active contour model. Journal of Electrical Systems Vol. 16, no. 3 (2020), pp.276-294.
https://search.emarefa.net/detail/BIM-987443

American Medical Association (AMA)

Deriche, M.& Abu Absah, Ahmad Hamdi& Amin, A.& Liu, B.. A novel approach for salt dome detection and tracking using a hybrid hidden Markov model with an active contour model. Journal of Electrical Systems. 2020. Vol. 16, no. 3, pp.276-294.
https://search.emarefa.net/detail/BIM-987443

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 293-294

Record ID

BIM-987443