A method of reducing data storage volumes for event by identifying an anomaly in a first portion of a sensor data set using one or more features derived from the sensor data, wherein the sensor data set is obtained from a sensor, and wherein the sensor data set comprises a plurality of individual sensor readings through time, determining one or more signal characteristics of the first portion of the sensor data set; and storing, in a memory, the one or more signal characteristics of the first portion of the sensor data set, wherein a second portion of the sensor data does not contain the anomaly, and wherein the second portion of the sensor data is not stored in the memory.
A method of presenting sensor data can include receiving a request for data to be displayed on a display area of a display device, determining a data distribution per pixel within the display area for both the first axis and the second axis based on the pixel resolution, the first output range, and the second output range, fitting the data distribution per pixel for data associated with the first axis to provide first axis fitted data, fitting the data distribution per pixel for data associated with the second axis to provide second axis fitted data, and sending the first axis fitted data and the second axis fitted data. The request comprises a pixel resolution of the display area, a first output range of the data along a first axis, and a second output range of the data along a second axis.
G09G 5/00 - Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
G09G 5/36 - Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the display of individual graphic patterns using a bit-mapped memory
A method of identifying events comprises obtaining a first set of measurements comprising a first signal of field data at a location; identifying one or more events at the location using the first set of measurements; obtaining a second set of measurements comprising a second signal at the location, wherein the first signal and the second signal represent at least one different physical measurements; training one or more event models using the second set of measurements and the identification of the one or more events as inputs; and using the one or more event models to identify at least one additional event at one or more locations.
A method of identifying events within a wellbore comprises obtaining a first set of measurements of a first signal within a wellbore, identifying one or more events within the wellbore using the first set of measurements, obtaining a second set of measurements of a second signal within the wellbore, wherein the first signal and the second signal represent different physical measurements, training one or more event models using the second set of measurements and the identification of the one or more events as inputs, and using the one or more event models to identify at least one additional event within the wellbore.
A method of monitoring fluid outflow along a wellbore comprises obtaining an acoustic signal from a sensor within the wellbore, determining one or more frequency domain features from the acoustic signal, and identifying one or more fluid outflow locations along the portion of the depth of the wellbore using the one or more frequency domain features. The acoustic signal comprises acoustic samples across a portion of a depth of the wellbore.
A method of determining fluid inflow locations cornprises determining a plurality of ternperature features frorn a distributed ternperature sensing signal originating in a wellbore, using the plurality of ternperature features in a fluid inflow identification model, and deterrnining the presence of fluid inflow at one or rnore locations along the wellbore based on an output frorn the fluid inflow identification model.
E21B 47/113 - Locating fluid leaks, intrusions or movements using light radiation
G01K 11/32 - Measuring temperature based on physical or chemical changes not covered by group , , , or using changes in transmittance, scattering or luminescence in optical fibres
7.
EVENT CHARACTERIZATION USING HYBRID DAS/DTS MEASUREMENTS
A method of determining the presence and/or extent of an event comprises determining a plurality of temperature features from a temperature sensing signal, determining one or more frequency domain features from an acoustic signal, and using at least one temperature feature of the plurality of temperature features and at least one frequency domain feature of the one or more frequency domain features to determine the presence and/or extent of the event at one or more locations.
BP EXPLORATION OPERATING COMPANY LIMITED (United Kingdom)
LYTT LIMITED (United Kingdom)
Inventor
Thiruvenkatanathan, Pradyumna
Abstract
A method of identifying events includes obtaining an acoustic signal from a sensor, determining one or more frequency domain features from the acoustic signal, providing the one or more frequency domain features as inputs to a plurality of event detection models, and determining the presence of one or more events using the plurality of event detection models. The one or more frequency domain features are obtained across a frequency range of the acoustic signal, and at least two of the plurality of event detection models are different.
G01H 17/00 - Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the other groups of this subclass
E21B 47/135 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling by electromagnetic energy, e.g. of radio frequency range using light waves, e.g. infrared or ultraviolet waves
E21B 47/10 - Locating fluid leaks, intrusions or movements
E21B 47/14 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling using acoustic waves
patents
