A knowledge-integration framework for interpreting seismic facies

Abstract

In recent years, the size of seismic data volumes and the number of seismic attributes available have increased. As a result, the task of recognizing seismic anomalies for the prediction of stratigraphic features or reservoir properties can be overwhelming. One way to evaluate a large amount of data and understand potential geologic trends is to automate seismic facies classification. However, the interpretation of seismic facies remains an elusive issue. Interpreters are confronted with the selection of the clustering technique and the optimal number of seismic facies that best uncover the spatial distribution of seismic facies. An interpretation framework combining data visualization with the results from various clustering techniques was evaluated. The framework allows interpreters to be directly involved in the seismic facies classification process. Because of the active participation, interpreters (1) gain insight into the detected seismic facies, (2) verify hypotheses with respect to the spatial distribution of seismic facies, (3) compare different seismic facies classification, and (4) gain more confidence with the seismic facies interpretation.

Automated seismic facies for data integration: an example from Fort Worth Basin, Texas (USA)

“…To overcome the aforementioned challenges and avoid a subjective decision-making when interpreting seismic facies results, a visual-based framework (Marroquín, 2014) was incorporated into the data integration process. The proposed framework consists of three well-defined tasks (Figure 9).…”

“…One facies result is tested in the next step. During the second step, the interpreter runs a Figure 9 Flowchart of the visual-based framework (modified from Marroquín, 2014). first break volume 33, May 2015 structural features and the areal extent of the deformation regimens characterizing the surrounding rocks.…”

“…Also, there is some degree of overlapping of the seismic facies groups, with the exception of facies 1 [brown] and 7 [turquoise]. Examination of the facies map display (Figure 13b A brief description of the three clustering techniques tested follows (Marroquín, 2014). The first is the hybrid technique which results in tight groups of seismic facies with sudden pattern changes.…”

“…There are inherent challenges regarding the selection of the seismic facies scheme that best uncovers and identifies important geologic features or reservoir properties. To overcome these issues, a visual-based framework (Marroquín, 2014) was incorporated into the data integration process. To demonstrate the benefit of this combined approach for conducting data integration analysis, a set of post-stack 3D seismic attributes were computed from the mapped top of the Ellenburger carbonates in the Fort Worth Basin, Texas.…”

Caracterização Das Principais Feições Superficiais De Fundo E Em Subsuperfície No Limite Sudoeste Da Baía De Macapá, Canal Do Norte, Rio Amazonas

“…Tropical Oceanography, Recife, v. 45, n. 1, p. 1- 25, 2017. 3 do planeta, em geofísica de prospecção refletem a ampliação das pesquisas relacionadas a investigação das estruturas em sub superfície (Marroquín, 2014), microtopografia de leito (Neill et al, 2012), análise estrutural das fácies sísmicas ou sismofácies (Pigott et al, 2013), e reconstrução de ambientes pretéritos . A aplicação dos métodos geofísicos para a investigação em subsuperfície tornou-se uma ferramenta importante para o avanço dos estudos voltados à morfodinâmica, auxiliando na compreensão dos processos sedimentares pertencentes a zona costeira (Miall, 2006).…”