Abstract:
A method for determining a fracture aperture of a fracture aperture in a wellbore comprises measuring a resistivity of the wellbore with a downhole tool in a wellbore for obtaining an image of the wellbore. Based on the image, the method detects fractures in the wellbore, and calculates a fracture aperture of the detected fracture according to a predetermined model of the wellbore set up based on hypothesis relative to the configuration of the wellbore. Then, the method estimates a correction to the predetermined model when at least one of the hypothesis is not met, and determines an uncertainty range for the fracture aperture also using a measured parameter.
Abstract:
The disclosure relates to a method and system for downhole processing of data, such as images, including using a set of downhole sensors to measure parameters relative to the borehole at a plurality of depths and azimuths and detecting predetermined features of the borehole, using a downhole processor, with a trained machine-learning model and extracting characterization data, characterizing the shape and position of the predetermined features that are transmitted to the surface. It also provides a method and system for providing an image of a geological formation at the surface including transmitting a first dataset to the surface that will be used for reconstructing an image at the surface, downhole processing of a second dataset to detect predetermined features and extract characterization data that are transmitted at the surface and displaying a combined image comprising the predetermined features overlaid on the first image.
Abstract:
Systems and methods for estimating surface of fracture per volume of rock are provided. The systems include a logging tool, such as a resistivity tool, for generating a borehole image representative of segments of fractures in one or more planes and a processor for estimating surface of fracture per volume of rock (P32) from the segments without the need for defining the one or more planes bearing the segments. The methods include using a downhole logging tool, such as a resistivity tool, to collect data corresponding to segments of fractures in one or more planes, and estimating surface of fracture per volume of rock (P32) by reconstructing theoretical elliptical fractures from the segment data, calculating length of fracture segment per surface of borehole (P21) for the theoretical elliptical fractures, and deriving P32 from P21.
Abstract:
The disclosure relates to a method and system for downhole processing of data, such as images, including using a set of downhole sensors to measure parameters relative to the borehole at a plurality of depths and azimuths and detecting predetermined features of the borehole, using a downhole processor, with a trained machine-learning model and extracting characterization data, characterizing the shape and position of the predetermined features that are transmitted to the surface. It also provides a method and system for providing an image of a geological formation at the surface including transmitting a first dataset to the surface that will be used for reconstructing an image at the surface, downhole processing of a second dataset to detect predetermined features and extract characterization data that are transmitted at the surface and displaying a combined image comprising the predetermined features overlaid on the first image.
Abstract:
Apparatus and methods for use with borehole image data to: delineate a dip and/or a fracture from the borehole image data; create a gap-filled image from the borehole image data; extract a fracture segment from the borehole image data; determine matrix information from the borehole image data; delineate a heterogeneity from the borehole image data; and analyze image porosity. The image porosity analysis is based on: the dip and/or fracture delineated from the borehole image data; the gap-filled image created from the borehole image data; the fracture segment extracted from the borehole image data; the matrix information determined from the borehole image data; and the heterogeneity delineated from the borehole image data.
Abstract:
The disclosure relates to a method for determining a fracture aperture of at least a fracture aperture in a wellbore, comprising: Measuring a resistivity of the wellbore with a downhole tool in a wellbore for obtaining an image of the wellbore, Detecting at least a fracture in the wellbore, Calculating a fracture aperture of the detected fracture according to a predetermined model of the wellbore, the model being set up based on at least an hypothesis relative to the configuration of the wellbore, Estimating a correction to the predetermined model when at least one of the hypothesis is not met, Based on at least a measured parameter relative to the wellbore and on the correction, determining an uncertainty range for the fracture aperture
Abstract:
Apparatus and methods for use with borehole image data to: delineate a dip and/or a fracture from the borehole image data; create a gap-filled image from the borehole image data; extract a fracture segment from the borehole image data; determine matrix information from the borehole image data; delineate a heterogeneity from the borehole image data; and analyze image porosity. The image porosity analysis is based on: the dip and/or fracture delineated from the borehole image data; the gap-filled image created from the borehole image data; the fracture segment extracted from the borehole image data; the matrix information determined from the borehole image data; and the heterogeneity delineated from the borehole image data.