Big data role in the upstream business research

Title

Big data role in the upstream business research

Subject

Big data
Geochemistry
Petroleum prospecting
Geology
Visualization
Seismology
Data visualization

Description

An offshore petroleum is the main focus of the current research with Big Data and high performance computing motivations in the study area. We undertake a joint exploration study focusing on Romanian offshore Black Sea (Western) basin, using volumes and varieties of datasets in a Big Data scale. The exploration datasets include more than 175 2D seismic lines, 30 km2 of 3D seismic data, information on more than 8 exploratory drilled wells including check-shot and VSP data including existing petrophysical and production data. Big Data opportunities are explored in the current upstream business research by proposing data modelling, visualization and data interpretation schemes. In spite of the data quality issues in the study area, several isochrones, isochores and other geological information are integrated and made based on which depositional models are drawn for risk minimizing the exploration and field development plans. The conclusions are based on structural, strati-structural interpretation, organic geochemistry and identification of new opportunity areas. Several data models, visualization and interpretation artefacts can handle the volumes and varieties in Big Data scale minimizing the risk involved in the upstream business in the investigating area. Several new opportunities are identified in the shelf, slope and deep marine areas.
104-108

Creator

Nimmagadda, S.L.
Aseev, A.

Publisher

3rd EAGE Workshop on High Performance Computing for Upstream 2017, October 1, 2017 - October 4, 2017

Date

2017

Type

conferencePaper

Identifier

10.3997/2214-4609.201702336

Citation

Nimmagadda, S.L. and Aseev, A., “Big data role in the upstream business research,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28229.

Output Formats