A hybrid GP-fuzzy approach to model reservoir permeability is presented. This approach uses a two-step divide-and-conquer process for modelling. First, GP is applied to construct classifiers that identify permeability ranges. Within each range, ANFIS is employed to build a Takagi-Sugeno-Kang fuzzy inference system that gives permeability estimation. We applied this method to five well log data ...

A method for up-gridding geostatistical reservoir models is proposed. The method generates well-adapted coarse-grid grids for a given realization and target coarse-scale dimensions. While most current grid generation methods are based on either local or global dynamic (flow rate dependent) measures, in this paper, we show that the inclusion of both local and global static information, can great...

The routine measurement of direction-dependent reservoir rock properties like permeability often takes place along the axial direction of core samples. As permeability is a tensor property of porous materials, it should be fully described by a tensor matrix or by three main permeabilities in principal directions. Due to compaction, cementation, and other lithification processes, which take plac...

the simultaneous flow of oil and water in porous media is described by relative permeability curves, mainly derived from laboratory experiments. relative permeability is of paramount importance in predicting reservoir production performance and drive mechanisms and its value depends largely on the volume fraction of fluids present in the test samples. nowadays x-ray scanners are one of the most...

Permeability is the ability of porous rock to transmit fluids and one of the most important properties of reservoir rock because oil production depends on the permeability of reservoirs. Permeability is determined using a variety of methods which are usually expensive and time consuming. Reservoir rock properties with image analysis and intelligent systems has been used to reduce time and money...

The simultaneous flow of oil and water in porous media is described by relative permeability curves, mainly derived from laboratory experiments. Relative permeability is of paramount importance in predicting reservoir production performance and drive mechanisms and its value depends largely on the volume fraction of fluids present in the test samples. Nowadays X-ray scanners are one of the most...

Only limited information is usually available about the properties (e.g., permeability) of oil reservoirs, which are usually heterogeneous with high variability levels and complex spatial correlation structures. Incomplete knowledge about these heterogeneous natural systems leads to uncertainty in the reservoir description model (i.e., permeability distribution). The uncertainty in the reservoi...

In many reservoir studies, anisotropic permeability values in orthogonal directions are often considered to have simple relationships. Often, this permeability anisotropy is modeled only between the vertical and horizontal directions as a certain ratio of values, while permeability values in a horizontal plane are considered equal. In reality, the depositional history of the reservoir results i...