A system, method and program product for processing borehole images to delineate between natural fractures and induced fractures. A system is disclosed that includes: an image analysis platform that inputs a noisy image from a borehole, processes the image using a set of filtering strategies, and renders a set of suggested filtered images via a user interface, the user interface including a mechanism for allowing a user to choose a selected filtered image from the set of suggested filtered images that best delineates between natural fractures and induced fractures, and wherein the image analysis platform further includes a feedback system for packaging and outputting the noisy image and selected filtered image as feedback; and a learning platform having a knowledge registration system that collects and stores training data and the feedback and in a knowledgebase, and a machine learning system that generates filtering strategies.

An exemplary method of analyzing a well log includes imaging a well log to form a well log image, performing pattern recognition on the well log image to determine pattern data, and determining stratigraphic structure data based on the pattern data. Another exemplary method of improving production from a stratigraphic structure includes performing pattern recognition on a well log image stored in an image format to determine pattern data, determining stratigraphic structure data using a computer-based structure analyzer based on the pattern data, and projecting well parameters based on the stratigraphic structure data. An exemplary system includes a scanner to scan a raster image of a printed well log and a computational system in communication with the scanner to receive the raster image. The computational system includes a pattern recognition analyzer to determine pattern data from the raster image and a structure analyzer to determine stratigraphic structure based on the pattern data.

A method of performing quality control on a subsurface model of a subterranean region includes providing a plurality of types of data relating to subsurface characteristics in the subsurface model outside of one or more wellbores in the region, the plurality of types of data including wellbore data obtained from one or more measurement instruments located within at least one of the one or more wellbores, performing an analysis on the data to determine if there is an error or errors in the data; if an error is detected, searching for the cause of the error; if the cause of the error is detected, correcting the error; if the cause of the error is not detected, either ignoring the data containing the error or including in the model the data containing the error and allocating to the data containing the error an increased prior uncertainty thus reducing the influence on the model of the data containing the error.

A fiber optic distributed sensing system for installation within a wellbore is provided. The system includes a first set of downhole sensors having one or more nuclear sensors with nuclear field sensitivity. The system additionally includes, a second set of downhole sensors having one or more ElectroMagnetic (EM) sensors with electromagnetic field sensitivity. The fiber optic distributed sensing system also includes a processor system configured to receive data measurements from the first and second sets of sensors and configured to conjointly process the data measurements into representations of physical attributes of the wellbore.

A method for determining properties of rock formations using drill string vibration measurements includes entering into a processor signals corresponding to vibrations detected along a rotating part of a drill string while drilling a borehole. The vibration signals are transformed into transformed signals representing elastic response of the drill string, the rock formations and borehole fluid to a filtered impulse originating at a known location along the drill string. Properties of the rock formations are calculated using the transformed signals.

An exemplary method of analyzing a well log includes imaging a well log to form a well log image, performing pattern recognition on the well log image to determine pattern data, and determining stratigraphic structure data based on the pattern data. Another exemplary method of improving production from a stratigraphic structure includes performing pattern recognition on a well log image stored in an image format to determine pattern data, determining stratigraphic structure data using a computer-based structure analyzer based on the pattern data, and projecting well parameters based on the stratigraphic structure data. An exemplary system includes a scanner to scan a raster image of a printed well log and a computational system in communication with the scanner to receive the raster image. The computational system includes a pattern recognition analyzer to determine pattern data from the raster image and a structure analyzer to determine stratigraphic structure based on the pattern data.

A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, or a combination thereof with a mathematical model based on measured data, microseismic data, completion and treatment data, or a combination thereof to produce a petrophysical property map, a microseismic data map, or a combination thereof; and correlating a seismic attribute map with the petrophysical property map, the microseismic data map, or the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network.

A method for estimating reservoir quality from a reflection seismic survey includes determining seismic interval velocity (or their inverse, interval transit time ITT) with respect to depth from the reflection seismic survey. A normal compaction trend of the seismic interval velocity with respect to depth is determined. A fractional amount of sand and a fractional amount of shale at at least one depth is determined based on deviation of the seismic interval velocity (or ITT) at the at least one depth from the normal compaction trend.

A logging instrument for estimating a property of a formation is provided. The instrument includes a magnet to generate a magnetic field. The instrument also includes pulse sequencer circuitry that supplies radio frequency (RF) signals. The instrument additionally includes an antenna system configured to transmit the RF signals and to obtain nuclear magnetic resonance (NMR) measurements of the formation in response to the transmitted RF signals. In one aspect, the logging tool contains a temperature sensor configured to obtain temperature measurements of the magnet. The instrument additionally includes a control unit communicatively coupled to the temperature sensor, the antenna system and the pulse sequencer circuitry and configured to receive the temperature measurements and selectively adjust operating parameters of the pulse sequencer circuitry based on the received temperature measurements in order to maintain optimal intensity of the magnetic field.

A combining mechanism for borehole logging tool data that employs modality merging to combine the output data of various borehole logging tools to provide a combined result and automated interpretation is provided, said mechanism comprising: at least one mechanism for assigning interpretive values to individual processed data types; at least one mechanism for combining the interpretive value data sets; and, at least one mechanism for providing an interpretation. A method of combining borehole logging tool data that employs modality merging to combine the output data of various borehole logging tools to provide a combined result and automated interpretation is also provided, said method comprising: assigning interpretive values to individual processed data types; combining the interpretive value data sets; and, providing an interpretation.