Rock Typing Approaches for Effective Complex Carbonate Reservoir Characterization

Abstract

For highly heterogeneous complex carbonate reef reservoirs, rock typing with respect to depositional conditions, secondary processes, and permeability and porosity relationships is a useful tool to improve reservoir characterization, modeling, prediction of reservoir volume properties, and estimation of reserves. A review of various rock typing methods has been carried out. The basic methods of rock typing were applied to a carbonate reservoir as an example. The advantages and disadvantages of the presented methods are described. A rock typing method based on a combination of hydraulic flow units and the R35 method is proposed. Clustering methods for rock typing are used. The optimum clustering method is identified, and for each rock type, the permeability–porosity relationships are built and proposed for use in the geomodelling stage.

Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri Oilfields, SW Iran

“…where M(x, y) = m, when y is the m th neighbor of x, and D(x, y) is the x and y distance [7,22,32,58,59].…”

“…Xing, et al [31] employed machine learning of core and log data for reservoir rock classification. Krivoshchekov, et al [32] characterized complex carbonate reservoirs employing reservoir rock groups. Mehmood, et al [33] studied Quaternary sedimentary facies, including the depositional environment and architectural elements.…”