CN110794119A - Online continuous detection method and system for water content of wellhead output liquid - Google Patents
Online continuous detection method and system for water content of wellhead output liquid Download PDFInfo
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- CN110794119A CN110794119A CN201910630274.1A CN201910630274A CN110794119A CN 110794119 A CN110794119 A CN 110794119A CN 201910630274 A CN201910630274 A CN 201910630274A CN 110794119 A CN110794119 A CN 110794119A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/26—Oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
- G01N33/2823—Oils, i.e. hydrocarbon liquids raw oil, drilling fluid or polyphasic mixtures
Abstract
The invention discloses an online continuous detection system for water content of a wellhead produced liquid, which is a real-time dynamic processing system for the produced liquid of an oil well, and comprises a signal acquisition sensor, high-speed data acquisition equipment and an analysis system, wherein the signal acquisition sensor is deployed on the wellhead based on the Internet of things, and the analysis system is deployed on a cloud platform; the high-speed data acquisition equipment transmits the data acquired by the signal acquisition sensor to the analysis system in real time; and the analysis system receives the data and then generates a result stream in real time. Correspondingly to the system, the invention also provides an online continuous detection method for the water content of the wellhead produced fluid, which realizes online continuous detection of the wellhead produced fluid and solves the problems of poor adaptability, low detection accuracy, difficult calibration and the like in the one-well one-meter analysis mode of the existing water content analysis equipment.
Description
Technical Field
The invention relates to the technical field of oilfield automation equipment, in particular to a method and a system for continuously detecting the water content of a wellhead produced fluid on line.
Background
In the production process of an oil field and an oil well, the water content of the produced liquid of the oil well is an important index, the current main mode is manual sampling and testing, a large amount of time and time are consumed and labor are wasted by occupying field workers, and in addition, the water content of the produced liquid can not be accurately represented due to the fact that the sampling frequency is low; at present, the existing test product realizes automatic measurement of water content at an oil well mouth, but the product can be applied after being calibrated according to production working conditions, and online measurement is a transient, nonlinear and multi-parameter complex process, the flow pattern is complex and changeable, the interphase interaction is strong, the mathematical description strength is high, so that the adaptability of the product in use is poor, and the measurement precision is far from meeting the requirement.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides an online continuous detection method and system for the water content of a wellhead output liquid.
In order to realize the aim of the invention, the invention provides an online continuous detection system for the water content of wellhead production liquid,
the system is an oil well produced fluid real-time dynamic processing system, which comprises a signal acquisition sensor deployed at a wellhead based on the Internet of things, high-speed data acquisition equipment and an analysis system deployed on a cloud platform,
the signal acquisition sensor realizes real-time data acquisition;
the high-speed data acquisition equipment transmits the data acquired by the signal acquisition sensor to the analysis system in real time;
and the analysis system receives the data and then generates a result stream in real time.
Wherein the content of the first and second substances,
the signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein the content of the first and second substances,
the high-speed data acquisition equipment packs data and transmits the data to an analysis system of the cloud platform at a second-level speed.
Wherein the content of the first and second substances,
the analysis system combines the data collected in real time with static data by utilizing a pre-built oil well parameter library and a calculation model to complete flow pattern recognition and phase inclusion rate analysis, outputs a result in real time, displays and provides the result for other systems to integrate and utilize data.
Wherein the content of the first and second substances,
the static data includes reservoir data, crude oil properties, and process parameters.
Corresponding to the system, the invention also provides an online continuous detection method for the water content of the wellhead production liquid,
the method is used for dynamically processing the produced fluid of the oil well in real time, and is applied to the following systems: comprises a signal acquisition sensor deployed at a wellhead based on the Internet of things, high-speed data acquisition equipment and an analysis system deployed on a cloud platform,
the method comprises the following steps:
(1) acquiring real-time data by using the signal acquisition sensor;
(2) transmitting the data acquired by the signal acquisition sensor to the analysis system in real time by using the high-speed data acquisition equipment;
(3) and generating a result stream in real time after the analysis system receives the data.
Wherein the content of the first and second substances,
the signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein the content of the first and second substances,
the high-speed data acquisition equipment packs data and transmits the data to an analysis system of the cloud platform at a second-level speed.
Wherein the content of the first and second substances,
the analysis system combines the data collected in real time with static data by utilizing a pre-built oil well parameter library and a calculation model to complete flow pattern recognition and phase inclusion rate analysis, outputs a result in real time, displays and provides the result for other systems to integrate and utilize data.
Wherein the content of the first and second substances,
the static data includes reservoir data, crude oil properties, and process parameters.
Compared with the prior art, the invention has the beneficial effects that the online continuous detection of the produced liquid at the well mouth is realized, the problems of poor adaptability, low detection accuracy, difficult calibration and the like in the one-well one-meter analysis mode of the existing water-containing analysis equipment are solved, the acquisition frequency of transient variable encrypted information of multiphase flow is changed through the sensor and the high-speed acquisition equipment, the second-level acquisition and transmission of data are realized by utilizing the technology of Internet of things, the self-adaptive analysis calculation model and the correction model are introduced into the cloud platform, the produced liquid content of the oil well is represented, and the measuring system with low cost, high reliability and high adaptability is realized.
Drawings
Fig. 1 is a schematic flow chart of the method of the present application.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when used in this specification the singular forms "a", "an" and/or "the" include "specify the presence of stated features, steps, operations, elements, or modules, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The invention provides an online continuous detection system for water content of a wellhead output liquid,
the system is an oil well produced fluid real-time dynamic processing system, which comprises a signal acquisition sensor deployed at a wellhead based on the Internet of things, high-speed data acquisition equipment and an analysis system deployed on a cloud platform,
the signal acquisition sensor realizes real-time data acquisition;
the high-speed data acquisition equipment transmits the data acquired by the signal acquisition sensor to the analysis system in real time;
and the analysis system receives the data and then generates a result stream in real time.
Wherein the content of the first and second substances,
the signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein the content of the first and second substances,
the high-speed data acquisition equipment packs data and transmits the data to an analysis system of the cloud platform at a second-level speed.
Wherein the content of the first and second substances,
the analysis system combines the data collected in real time with static data by utilizing a pre-built oil well parameter library and a calculation model to complete flow pattern recognition and phase inclusion rate analysis, outputs a result in real time, displays and provides the result for other systems to integrate and utilize data.
Wherein the content of the first and second substances,
the static data includes reservoir data, crude oil properties, and process parameters.
According to the method, a signal acquisition sensor and an acquisition device are installed at the wellhead, static parameters and real-time acquired data are processed through time sequence signals, working condition judgment and flow state identification are completed, the inclusion ratio is calculated according to a preset calculation model and correction parameters, and storage and display are carried out.
Corresponding to the system, the invention also provides an online continuous detection method for the water content of the wellhead production liquid, as shown in figure 1,
the method is used for dynamically processing the produced fluid of the oil well in real time, and is applied to the following systems: comprises a signal acquisition sensor deployed at a wellhead based on the Internet of things, high-speed data acquisition equipment and an analysis system deployed on a cloud platform,
the method comprises the following steps:
(1) acquiring real-time data by using the signal acquisition sensor;
(2) transmitting the data acquired by the signal acquisition sensor to the analysis system in real time by using the high-speed data acquisition equipment;
(3) and generating a result stream in real time after the analysis system receives the data.
Wherein the content of the first and second substances,
the signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein the content of the first and second substances,
the high-speed data acquisition equipment packs data and transmits the data to an analysis system of the cloud platform at a second-level speed.
Wherein the content of the first and second substances,
the analysis system combines the data collected in real time with static data by utilizing a pre-built oil well parameter library and a calculation model to complete flow pattern recognition and phase inclusion rate analysis, outputs a result in real time, displays and provides the result for other systems to integrate and utilize data.
Wherein the content of the first and second substances,
the static data includes reservoir data, crude oil properties, and process parameters.
According to the invention, the online continuous detection of the produced liquid at the well mouth is realized, the problems of poor adaptability, low detection accuracy, difficult calibration and the like in the one-well one-meter analysis mode of the existing water-containing analysis equipment are solved, the transient variable encrypted information of multiphase flow is acquired frequently through a sensor and high-speed acquisition equipment, the second-level acquisition and transmission of data are realized by using the Internet of things technology, a self-adaptive analysis calculation model and a correction model are introduced into a cloud platform to represent the content of the produced liquid phase of the oil well, and the measuring system with low cost, high reliability and high adaptability is realized.
It should be noted that, in the present application, the high-speed data acquisition device is an intelligent internet of things gateway, and the model is DQ-RTU.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An online continuous detection system for water content of wellhead produced liquid is characterized in that:
the system is an oil well produced fluid real-time dynamic processing system, which comprises a signal acquisition sensor deployed at a wellhead based on the Internet of things, high-speed data acquisition equipment and an analysis system deployed on a cloud platform,
the signal acquisition sensor realizes real-time data acquisition;
the high-speed data acquisition equipment transmits the data acquired by the signal acquisition sensor to the analysis system in real time;
and the analysis system receives the data and then generates a result stream in real time.
2. The on-line continuous detection system for the water content of the wellhead production liquid as claimed in claim 1, which is characterized in that:
the signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
3. The on-line continuous detection system for the water content of the wellhead production liquid as claimed in claim 1, which is characterized in that:
the high-speed data acquisition equipment packs data and transmits the data to an analysis system of the cloud platform at a second-level speed.
4. The on-line continuous detection system for the water content of the wellhead production liquid as claimed in claim 1, which is characterized in that:
the analysis system combines the data collected in real time with static data by utilizing a pre-built oil well parameter library and a calculation model to complete flow pattern recognition and phase inclusion rate analysis, outputs a result in real time, displays and provides the result for other systems to integrate and utilize data.
5. The on-line continuous detection system for the water content of the wellhead production liquid as claimed in claim 1, which is characterized in that:
the static data includes reservoir data, crude oil properties, and process parameters.
6. An online continuous detection method for water content of a wellhead production liquid is characterized by comprising the following steps:
the method is used for dynamically processing the produced fluid of the oil well in real time, and is applied to the following systems: comprises a signal acquisition sensor deployed at a wellhead based on the Internet of things, high-speed data acquisition equipment and an analysis system deployed on a cloud platform,
the method comprises the following steps:
(1) acquiring real-time data by using the signal acquisition sensor;
(2) transmitting the data acquired by the signal acquisition sensor to the analysis system in real time by using the high-speed data acquisition equipment;
(3) and generating a result stream in real time after the analysis system receives the data.
7. The on-line continuous detection method for the water content of the wellhead production liquid as claimed in claim 6, which is characterized in that:
the signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
8. The on-line continuous detection method for the water content of the wellhead production liquid as claimed in claim 6, which is characterized in that:
the high-speed data acquisition equipment packs data and transmits the data to an analysis system of the cloud platform at a second-level speed.
9. The on-line continuous detection method for the water content of the wellhead production liquid as claimed in claim 6, which is characterized in that:
the analysis system combines the data collected in real time with static data by utilizing a pre-built oil well parameter library and a calculation model to complete flow pattern recognition and phase inclusion rate analysis, outputs a result in real time, displays and provides the result for other systems to integrate and utilize data.
10. The on-line continuous detection method for the water content of the wellhead production liquid as claimed in claim 6, which is characterized in that:
the static data includes reservoir data, crude oil properties, and process parameters.
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