Patent classifications
G01V2210/6163
Geophysical deep learning
A method can include selecting a type of geophysical data; selecting a type of algorithm; generating synthetic geophysical data based at least in part on the algorithm; training a deep learning framework based at least in part on the synthetic geophysical data to generate a trained deep learning framework; receiving acquired geophysical data for a geologic environment; implementing the trained deep learning framework to generate interpretation results for the acquired geophysical data; and outputting the interpretation results.
IMAGE ANALYSIS WELL LOG DATA GENERATION
A well log is scanned for one or more dimensions that describe one or more features of a well. Each dimension includes a plurality of values in a numerical format that represents each dimension. A missing value is detected in a first plurality of values of a first dimension of the well log. The first dimension of the well log is transformed, in response to the missing value, into a first image that visually depicts the first dimension including the first plurality of values and the missing value. Based on the first image and based on an image analysis algorithm a second image is created that visually depicts the first plurality of values and includes a found depiction visually depicting a found value in place of the missing value. The found depiction is converted, based on the second image, into a first value in the numerical format.
Computer implemented method for generating a subsurface rock and/or fluid model of a determined domain
A computer implemented method is provided for generating a subsurface rock and/or fluid model on a determined domain. The subsurface rock and/or fluid model generated by the invention combines acoustic data and data obtained by an electromagnetic survey in such a way that the resulting model avoids the need of generating an image of the resistivity with the low resolution imposed by the known techniques inverting EM electromagnetic survey data.
Geo-Mechanical Based Determination of Sweet Spot Intervals for Hydraulic Fracturing Stimulation
A process for the determining of sweet spot intervals based on a combination of rock quality, an in-situ stress regime, natural fractures, and the identification of fluid flow paths from the interaction of hydraulic fracturing and formation attributes. The process may include determining geological components, determining mechanical earth model outputs, and determining sweet spot intervals using additional data from fracture calibration tests. Systems and computer-readable media for the determining of sweet spot intervals are also provided.
Adjustable frequency processing of electromagnetic logging data
Pipe]parameter determinations from electromagnetic logs can be improved, in accordance with various embodiments, by weighting signals with frequencies below a threshold associated with resolution degradation lower than signals with frequencies above the threshold. The threshold frequency may be determined based on a spatial resolution associated with the logging tool and a logging speed. Further embodiments are described.
Modification and assessment
A mobile platform for assessing and modifying pavement surfaces. An emitter generates electromagnetic waves towards a portion of a pavement surface. A condition sensor receives electromagnetic radiation from a first portion of the pavement surface and generates a first electronic signal representative of a current condition of the portion of the pavement surface. A location sensor generates a second electronic signal containing location data corresponding to the first portion of the pavement surface. A computing platform processes the electronic signals and creates a current pavement condition data point. The computing platform may compare the first electronic signal against a reference representative of a target condition, determine if there is a condition variance, and, if a condition variance exceeds a predetermined threshold, generate a condition control signal which is transmitted to and operates to modify operation of the pavement surface modification system in order to reduce the condition variance.
System and method for determining formation characteristics using electrical arc modeling
A disclosed downhole drilling system may include a drill bit electrically coupled to a pulse-generating circuit to generate electrical arcs between first and second electrodes during pulsed drilling operations, a sensor to record responses to electromagnetic or acoustic waves produced by the electrical arcs, and a sensor analysis system. The electrical arcs occur at different azimuthal locations between the electrodes. The sensor analysis system may obtain a plurality of measurements representing first responses recorded by the sensor during a pulsed drilling operation, generate a model of a source of the electrical arcs based on the measurements, obtain an additional measurement representing a second response recorded by the sensor during the operation, and determine a characteristic of a formation near the drill bit using an inversion based on the model and the additional measurement. The determined characteristic may be used to determine dip parameters or construct images of the formation.
Systems and methods for detecting seismo-electromagnetic conversion
Drilling systems and related methods are disclosed. A drilling systems may include a tool configured to be positioned at an end of a drill string adjacent a drill bit, and the tool may be configured to detect localized seismo-electromagnetic conversion from one or more predetermined positions within a medium ahead of the drill bit. The tool may include two or more pressure sources configured to generate focused acoustic and/or elastic energy at the one or more predetermined positions to generate the localized seismo-electric conversion.
Fluid substitution
A method of fluid substitution, wherein an initial data set is provided, wherein a substituted data set is provided, wherein a rock physics model is provided, wherein the initial data set includes initial data of a geophysical parameter and initial fluid data, and wherein the substituted data set includes substituted fluid data. The method includes using the model and the initial data set to calculate first calculated data of the geophysical parameter, using the model and the substituted data set to calculate second calculated data of the geophysical parameter, calculating the difference between the first calculated data of the geophysical parameter and the second calculated data of the geophysical parameter, and applying the difference to the initial data of the geophysical parameter to produce substituted data of the geophysical parameter.
DISCRETE VOLUMETRIC ACOUSTIC AND RESISTIVITY METHOD AND APPARATUS FOR SUB-SEABED SURVEYING
A sub-bottom geophysical imaging apparatus includes a carriage assembly having at least one acoustic transmitter, and at least one acoustic receiver proximate the transmitter. A position determining transponder is mounted on the carriage. A plurality of position transponders is disposed at spaced apart positions to communicate with the transponder mounted on the carriage. A pair of tracks is provided for moving the carriage to selected positions above the bottom. Electrodes are provided for a resistivity sensor and a shear acoustic transmitter and receiver disposed in at least one of the pair of tracks. A signal processing unit is configured to coherently stack and beam steer signals detected by the line array, the electrodes and the shear transmitter and receiver. The signal processing unit is configured to record signals detected by the line array of acoustic receivers, the electrodes and the shear acoustic transmitter and receiver.