Fracture driver determinations are mainly focused on the factors which influence fracture intensities. A normalized averaged intensity can have more than one possible fracture spatial organization and hence the importance of combining intensity and cluster analysis to better model fracture interconnectivity in reservoirs. Mississippian Lime fracture cluster analysis using correlation count method was used in an area that covers a narrow central faulted area influenced by strike slip tectonics as well as the two adjacent blocks to the east and west of this area. Four main rock types with large contrast in porosity and permeability were identified: tripolitc chert, calcareous siltstone, fractured carbonate and limestone with fracture intensities ranging from 0.16 to 0.57 fractures/ft, respectively. Fracture cluster analysis shows a large contrast in fracture cluster orientation width (200 to 1500) and spacing between the faulted block and the eastern and western blocks. A significant diagenetic overprint makes cluster analysis very relevant when fracture intensity drivers are based on rock type.
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2nd International Discrete Fracture Network Engineering Conference
June 20–22, 2018
Seattle, Washington, USA
A Clustered DFN from Sequence Spacing Analysis in the Mississippian Lime
Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, Seattle, Washington, USA, June 2018.
Paper Number:
ARMA-DFNE-18-0215
Published:
June 20 2018
Citation
Sarmiento, Sergio, Briceno, Arnulfo, Fontecha, Brigida, Winstanley, Stephen, and Luis Navarrete. "A Clustered DFN from Sequence Spacing Analysis in the Mississippian Lime." Paper presented at the 2nd International Discrete Fracture Network Engineering Conference, Seattle, Washington, USA, June 2018.
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