Abstract: To process geological log data, a two-dimensional set of log values recorded at a plurality of points is obtained about a borehole periphery, and over a chosen length along the borehole. The set of log values are decomposed by identifying in the set one or more main functions indicative of one or more main geological layer features of the rock penetrated by the borehole and removing log values corresponding to values of the main functions from the set of log values. Further decomposing the set of log values can be performed, as necessary iteratively, based on one or more subsidiary functions. The log values of the set remaining after identification and removal of values are designated as texture. Functions indicative of the main and subsidiary layer features and the texture are used to construct a synthesized volume representing the rock removed during creation of the chosen length of the borehole.

Abstract: Systems and methods for optimizing bed boundary locations and prediction of associated petrophysical property values of a wellbore in a reservoir formation are disclosed. To optimize bed boundary locations and predict petrophysical property values, a process can be used in which a high resolution wellbore log is used to get an initial estimate of boundary positions. The initial estimate can then be used to constrain a joint optimization of bed positions and associated petrophysical property values. Such a process automates both the generation of a single set of boundaries that are common to all measurements and the prediction of petrophysical properties via joint inversion. The same inversion process can be used to derive quality indicators on the corrected bed boundary locations and the petrophysical property values.

Abstract: A method of processing borehole log data to create one or more image logs involve modelling the log data as components of an image in the form i(x, y)=l(x, y)×r(x, y) (1), in which i(x, y) is an image representative of the log data, l(x, y) denotes an illumination value of the image at two-dimensional spatial co-ordinates x, y, and r(x, y) denotes a surface reflectance value at the co-ordinates x, y. Equation (1) is transformed to a logarithmic domain, and a Fourier transform is obtained of the resulting logarithmic domain expression to obtain a Fourier domain expression. The Fourier domain expression is high-pass filtered, and an inverse Fourier transform is obtained of the resulting filtered Fourier domain expression. An exponential operation is performed on the result of inverse Fourier transform to obtain a filtered image model expression. Values of the filtered image model expression are mapped to respective color values across the range of the filtered image model expression values.

Abstract: A method of processing borehole log data to create one or more image logs involve modeling the log data as components of an image in the form i(x, y)=l(x, y)×r(x, y) (1), in which i(x, y) is an image representative of the log data, l(x, y) denotes an illumination value of the image at two-dimensional spatial co-ordinates x, y, and r(x, y) denotes a surface reflectance value at the co-ordinates x, y. Equation (1) is transformed to a logarithmic domain, and a Fourier transform is obtained of the resulting logarithmic domain expression to obtain a Fourier domain expression. The Fourier domain expression is high-pass filtered, and an inverse Fourier transform is obtained of the resulting filtered Fourier domain expression. An exponential operation is performed on the result of inverse Fourier transform to obtain a filtered image model expression. Values of the filtered image model expression are mapped to respective color values across the range of the filtered image model expression values.

Abstract: To process geological log data, a two-dimensional set of log values recorded at a plurality of points is obtained about a borehole periphery, and over a chosen length along the borehole. The set of log values are decomposed by identifying in the set one or more main functions indicative of one or more main geological layer features of the rock penetrated by the borehole and removing log values corresponding to values of the main functions from the set of log values. Further decomposing the set of log values can be performed, as necessary iteratively, based on one or more subsidiary functions. The log values of the set remaining after identification and removal of values are designated as texture. Functions indicative of the main and subsidiary layer features and the texture are used to construct a synthesised volume representing the rock removed during creation of the chosen length of the borehole.

Abstract: A method of processing borehole log data to create one or more image logs involve modelling the log data as components of an image in the form i(x, y)=l(x, y)×r(x, y) (1), in which i(x, y) is an image representative of the log data, l(x, y) denotes an illumination value of the image at two-dimensional spatial co-ordinates x, y, and r(x, y) denotes a surface reflectance value at the co-ordinates x, y. Equation (1) is transformed to a logarithmic domain, and a Fourier transform is obtained of the resulting logarithmic domain expression to obtain a Fourier domain expression. The Fourier domain expression is high-pass filtered, and an inverse Fourier transform is obtained of the resulting filtered Fourier domain expression. An exponential operation is performed on the result of inverse Fourier transform to obtain a filtered image model expression. Values of the filtered image model expression are mapped to respective color values across the range of the filtered image model expression values.

Abstract: Systems and methods for optimizing bed boundary locations and prediction of associated petrophysical property values of a wellbore in a reservoir formation are disclosed. To optimize bed boundary locations and predict petrophysical property values, a process can be used in which a high resolution wellbore log is used to get an initial estimate of boundary positions. The initial estimate can then be used to constrain a joint optimization of bed positions and associated petrophysical property values. Such a process automates both the generation of a single set of boundaries that are common to all measurements and the prediction of petrophysical properties via joint inversion. The same inversion process can be used to derive quality indicators on the corrected bed boundary locations and the petrophysical property values.

Abstract: A method of processing borehole log data to create one or more image logs involve modeling the log data as components of an image in the form i(x, y)=l(x, y)×r(x, y) (1), in which i(x, y) is an image representative of the log data, l(x, y) denotes an illumination value of the image at two-dimensional spatial co-ordinates x, y, and r(x, y) denotes a surface reflectance value at the co-ordinates x, y. Equation (1) is transformed to a logarithmic domain, and a Fourier transform is obtained of the resulting logarithmic domain expression to obtain a Fourier domain expression. The Fourier domain expression is high-pass filtered, and an inverse Fourier transform is obtained of the resulting filtered Fourier domain expression. An exponential operation is performed on the result of inverse Fourier transform to obtain a filtered image model expression. Values of the filtered image model expression are mapped to respective color values across the range of the filtered image model expression values.