Abstract: Method of detecting breaks in logging signals consisting of logs of different kinds recorded as a function of depth, of the type consisting in selecting a portion from each of the said logs in such a way that all the selected portions have a same depth interval in common, one of the selected portions being regarded as reference portion; selecting a parent wavelet function and constructing, from the said parent function, a family of wavelet analysis functions dependent on spatial frequency and on depth, the said method being characterized in that it furthermore consists in calculating, for each portion of log selected and for each depth datum, the absolute value of the mean gradient of the characteristic quantity of the wavelet transform for the various spatial analysis frequencies; selecting, for each portion of log processed, the peaks of the absolute value of the mean gradient of the characteristic quantity.

Abstract: A method for evaluating the coherence of environmental measurements of a given geological medium or field using well logging data is disclosed. A series of N geological parameters are each measured at a series of reference points found in reference wells within this medium. Each reference point is at a different depth and has known lithological characteristics, and the N measurements form a reference observation (Xi) corresponding to that point. The same N parameters are measured at application points found in one or more application wells, at depths identical to those of the reference points, forming an application observation (x) for each application point. A neighboring domain (Di) and acceptance class are defined for each reference observation (Xi). Each application observation (x) is then compared with all of reference observations (Xi) using a nearest-neighbor algorithm to determine the degree of membership of the application observation in each reference observation's acceptance class.

Abstract: Method for automatic detection of planar heterogeneities crossing the stratification of an environment.

Abstract: Each of the N surface images, used to restore the borehole or the core sample surface image, is segmented into related components (C(12), C(11), . . . ) Which are grouped into related regions (C(8)), each touching both the right and left edges of the image. After smoothing out their contours, the related regions are represented in the form of an image, called bed image, representative uftlle stratification beds. The contours appearing on the N bed images are matched to construct the bed boundary sinusoidal curves. This is particularly useful in determining stratification of a geological site.

Abstract: A method for obtaining a representation of the textures of a geological structure, characterized in that images characteristic of the sedimentology of the environment are formed, parameters corresponding to the nature of the images are estimated at every point of each image and in a spatial domain around the point so as to determine a texture vector for each of the points and to obtain a set of texture vectors. The method also includes the steps of selecting texture vectors representative of the characteristic textures of the geological environment in the set of texture vectors; and using a neural network formed of cells distributed in two dimensions which contains as many cells as characteristic textures. The selected texture vectors are used to submit the neural network to a learning process so that a final topology map of the textures characteristic of the geological environment is obtained.