Structural framework and its compartmentalisation within the associated uncertainties: A case study from the Statfjord Reservoir, Northern North Sea
- 1. Geological Engineering Department, Universitas Jenderal Soedirman (Indonesia)
- 2. Institute of Applied Geosciences, University of Leeds (United Kingdom)
- 3. Department of Geophysics, Universitas Gadjah Mada (Indonesia)
Description
The study to define the degree of compartmentalization along with the associated uncertainties has been done to aid the exploration sector to maximize its hidden potentials. Statfjord reservoir as the object of this study provides a robust clastic data which contains six different zones based upon petrophysical analysis. Seismic data interpretation is the core method to generate the structural and surface interpretation, followed by the structural framework modeling to define the juxtaposition along with the segmented fault system. The result shows moderate clay content (Effective Shale Gouge Ratio) ranging between 40% - 60% with 0.3 MD (millidarcy) permeability, which indicates moderately sealing faults. The compartments also considered having two different scenarios concerning its migration pathway. This is because of the limited well data at the reservoir system, therefore, two different Oil to Water Contact (OWC) value has been added (-2717m and -2617m). (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1367/1/012038Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1367
- Journal Issue
- 1
- Journal Page Range
- [12 p.]
- ISSN
- 1742-6596
Conference
- Title
- International Conference on Engineering, Technology and Innovative Researches
- Dates
- 18-19 Sep 2019
- Place
- Purwokerto (Indonesia)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53060127
- Subject category
- S54: ENVIRONMENTAL SCIENCES; S04: OIL SHALES AND TAR SANDS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CLAYS; COMPARTMENTS; COMPUTERIZED SIMULATION; NORTH SEA; OILS; PERMEABILITY; SHALES; SURFACES
- Descriptors DEC
- ATLANTIC OCEAN; MINERALS; ORGANIC COMPOUNDS; OTHER ORGANIC COMPOUNDS; PHYSICAL PROPERTIES; ROCKS; SEAS; SEDIMENTARY ROCKS; SILICATE MINERALS; SIMULATION; SURFACE WATERS