G01V2210/6163

Identification of natural fractures in wellbore images using machine learning

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.

DETECTING OBJECTS SUBMERGED IN A BODY OF WATER OR AT LEAST PARTLY BURIED IN A BED OF THE BODY OF WATER

The invention provides an apparatus (10, 14) for detecting objects that are submerged in a body of water or at least partly buried in a bed of the body of water. According to a first aspect, the apparatus comprises a support structure (16) adapted to be mounted to a remotely operated towed vehicle, ROTV (12), a plurality of acoustic transducers (27.x) mounted to the support structure (16), and at least one magnetic sensor (28.x) mounted to the support structure (16). According to a second aspect, the apparatus comprises a remotely operated towed vehicle, ROTV (12), the ROTV (12) comprising at least one control flap (38.x) operable to control a sub-surface depth of the ROTV (12) when the ROTV (12) is towed in the body of water, a support structure (16) mounted to the ROTV (12), and a plurality of acoustic transducers (27.x) mounted to the support structure (16). The invention further provides a method, a computer system, and a machine-readable medium.

High resolution downhole imaging
10914856 · 2021-02-09 · ·

Apparatus having a focused transducer and methods of operating a focused transducer downhole in a well can provide high resolution downhole imaging. In various embodiments, a focused transducer is used for imaging downhole in a well in which the imaging is based on a seismoelectric effect. In various embodiments, a focused transducer is used for imaging downhole in a well in which the imaging is based on an electroacoustic effect. Additional apparatus, systems, and methods are disclosed.

Downhole well integrity reconstruction in the hydrocarbon industry

The present disclosure describes methods and systems for downhole well integrity reconstruction in a hydrocarbon reservoir. One method for downhole well integrity reconstruction in a hydrocarbon reservoir includes: positioning, a laser head at a first subterranean location, wherein the laser head is attached to a tubular inside of a wellbore; directing, by the laser head, a laser beam towards a leak on the wellbore; and sealing the leak using the laser beam.

Modification and assessment

The present disclosure involves processes for assessing and modifying pavement surfaces using a mobile platform. An emitter associated with the mobile platform generates electromagnetic waves directed towards a portion of a pavement surface. A condition sensor associated with the mobile platform 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 is used to process the electronic signals and create a current pavement condition data point. The computing platform may compare the first electronic signal against a reference representative of a target condition of the portion of the pavement surface, determine if there is a condition variance, and determine whether any condition variance exceeds a predetermined threshold. If a condition variance exceeds a predetermined threshold, the computing platform may generate a condition control signal which is transmitted to a pavement surface modification system, and which operates to modify operation of the pavement surface modification system in order to reduce the condition variance.

TRACKING AND SPATIAL LOCATION SYSTEM OF MAGNETIC SENSORS AND TRACKING AND LOCATION METHOD

The present aspects provide a tracking and spatial location system of magnetic sensors applied in extraction and transport processes in open pit mines or underground mines, allowing spatially locating one or more sensors that transmit magnetic signals through of one or more collectors that perform a reading and processing of these signals. The present aspects also provide a tracking and location method that makes use of the magnetic sensors tracking and spatial location system, comprising the necessary steps to perform the tracking and determine the location of the sensors.

Method of determining subsurface properties using multifrequency electromagnetic depth sounding

The present disclosure relates to detecting subterranean formations using electromagnetic depth sounding. A method for detecting formation properties may comprise of disposing a transmitter at a surface, disposing a receiver at the surface, coupling a high frequency wave to a low frequency wave to form an electromagnetic pulse, transmitting the electromagnetic pulse into a formation from the transmitter, receiving a reflected electromagnetic wave from the formation with the receiver, and determining the depth and nature of the formation from the surface. A formation measuring system may comprise a transmitter, wherein the transmitter is configured to couple a high frequency wave to a low frequency wave to form an electromagnetic pulse. The formation measuring system may further comprise at least one receiver, a data acquisition system, and an analysis unit.

Using Elastic Facies to Perform Quality Control of Well Logs
20200284933 · 2020-09-10 ·

Methods and systems for performing log quality control on well data of non-key wells is provided. A method of identifying elastic facies in non-key wells as part of Log Quality Control (LQC) includes selecting one or more key wells, building a reference model of elastic facies using the well log data of the selected one or more key wells, propagating the reference model to well data of one or more non-key wells, benchmarking the well data of the non-key wells with the reference model, and calibrating the well data of the non-key wells with the reference model.

Iterative and repeatable workflow for comprehensive data and processes integration for petroleum exploration and production assessments

A global objective function is initialized to an initial value. A particular model simulation process is executed using prepared input data. A mismatch value is computed by using a local function to compare an output of the particular model simulation process to corresponding input data for the particular model simulation process. Model objects associated with the particular model simulation process are sent to another model simulation process. An optimization process is executed to predict new values for input data to reduce the computed mismatch value.

Well-Log Interpretation Using Clustering
20200183042 · 2020-06-11 ·

Computing systems, computer-readable media, and methods interpreting well logs, of which the method includes receiving data that comprises one or more well logs acquired using a tool disposed at a plurality of depths 423 in a bore in a subterranean environment, partitioning the data into segments, the individual segments containing data points, representing the segments as representative points in a parameter domain, determining reachability distances for the representative points in the parameter domain, initializing a cluster based on the reachability distances, identifying one or more segments as part of the cluster, and determining a physical feature represented in the one or more well logs based on the cluster.