Oil field sewage detection method and equipment based on artificial intelligence
A technology of oilfield sewage and detection method, which is applied in the direction of neural learning method, image data processing, image enhancement, etc., can solve the problems of not being able to judge whether the quality of oilfield sewage reaches the standard in time, affect the detection efficiency and effectiveness, and improve the efficiency and timeliness, the effect of saving detection time
Pending Publication Date: 2022-02-18
DESHI ENERGY TECH GRP CO LTD +2
View PDF0 Cites 4 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] One or more embodiments of this specification provide an artificial intelligence-based oilfield sewage detection method and equipment, which are used to solve the following technical problems: the existing detection methods cannot timely judge whether the quality of oilfield sewage is up to standard, which affects the efficiency and quality of detection. effectiveness
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0016] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments of this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.
[0017] As a non-renewable resource, oil should be exploited rationally to ensure the rational use of resources. In the process of oil extraction, sewage is easily generated and seriously affects the ecological environment. Perform quality checks.
[0018] Oilfield wastewater mainly includes oilfield produced water, drilling wastewater and other types of oily w...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The embodiment of the invention discloses an oil field sewage detection method and device based on artificial intelligence. The method comprises the following steps: regularly collecting an original image of oil field sewage through an image collection device, determining a to-be-detected sewage region image, carrying out the gray processing and normalization processing of the sewage region image, and determining a sewage region gray image; calculating a brightness value and a dark channel value, and determining a specified pixel point according to the brightness value and the dark channel value; taking the brightness value at the specified pixel point as a pixel value of the specified pixel point, determining an attenuation coefficient corresponding to the specified pixel point, and converting the attenuation coefficient of the specified pixel point into a corresponding attenuation coefficient distribution diagram; inputting the attenuation coefficient distribution diagram into a pre-trained first detection model, and detecting index component grades in the oilfield sewage so as to determine an initial detection result of the oilfield sewage; and judging whether the initial detection result accords with a preset detection threshold value or not, and if the initial detection result does not accord with the preset detection threshold value, sending the initial detection result to the computer terminal for redetection.
Description
technical field [0001] This specification relates to the technical field of oilfield sewage detection, in particular to an artificial intelligence-based oilfield sewage detection method and equipment. Background technique [0002] As a non-renewable resource, oil should be exploited rationally to ensure the rational use of resources. In the process of oil extraction, sewage is easily generated and seriously affects the ecological environment. Perform quality checks. [0003] In the prior art, oilfield sewage is sampled multiple times, and the samples are tested by chemical or physical methods. The test results depend on the sampling area and detection speed, which makes it impossible to judge whether the quality of oilfield sewage meets the standard in time, which affects the efficiency of oilfield sewage detection. sex and effectiveness. Contents of the invention [0004] One or more embodiments of this specification provide an artificial intelligence-based oilfield sew...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06T7/00G06T7/136G06T7/90G06K9/62G06N3/04G06N3/08G06V10/774G06V10/82
CPCG06T7/0002G06T7/136G06T7/90G06N3/08G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30181G06N3/045G06F18/214
Inventor 崔仕章侯云福宋新旺王黎明高瑞美常新明张向红刘骁
Owner DESHI ENERGY TECH GRP CO LTD