Neural networks are powerful tools for solving the complex regression problems which abound in geosciences. Estimation of prediction confidence from neural networks is an important area. Many procedures are available to date, but it is often tedious for practitioners to implement such procedures without significant modification of the existing learning algorithms. In many cases, the procedures ...

Piton de la Fournaise (PdF) is a basaltic volcano whose activity characterized by effusive to mildly explosive eruptions. The geologic record preserves evidence of eruptions associated with the seaward sliding steep east flank. Such formed calderas that are several km in diameter and their products have been emplaced as breccias. breccias PdF offer opportunity sample wide range different lithol...

Descriptions of rock fabric and texture are of great value to geologists and petrophysicists as they can be used in facies analysis and in the interpretation of the environment of deposition. Grain shape and size information is used to correlate to petrophysical properties. They are also of importance to the production technologist for completion design and sand strength/failure prediction. Tex...

Examples from the Polish clastic and carbonate reservoirs Central Anticlinorium, Carpathians Carpathian Foredeep are presented to illustrate possibilities of using well logging geothermal resources recognition characterization. Firstly, there was a short description selected logs methodology determination petrophysical parameters useful in investigations: porosity, permeability, fracturing, min...

The lateral sealing ability of a normal fault is a major factor in creating hydrocarbon traps. Therefore, a methodology for assessing the sealing ability of faults in the siliciclastic sequences of subsidence basins has been established; moreover, by using this methodology, the uncertainty inherent in hydrocarbon exploration can be decreased. Moreover, the petrophysical properties of fault roc...

Fuzzy rule based systems have been very popular in many engineering applications. In petroleum engineering, fuzzy rules are normally constructed using some fuzzy rule extraction techniques to establish the petrophysical properties prediction model. However, when generating fizzy rules from the available information, it may result in a sparse fuzzy rule base. The use of more than one input varia...

INTRODUCTION The advent of a commercial electromagnetic (EM) multicomponent borehole logging tool with capabilities to measure electric anisotropy, has spearheaded efforts to simulate numerically the tool’s response in complex 3D logging environments (Wang and Fang, 2001; Avdeev et al., 2002; and Newman and Alumbaugh, 2002). Modelling formation electric anisotropy effects is of significance to ...