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
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- data
- water content
- continuous detection
- analysis system
- wellhead
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 26
- 238000001514 detection method Methods 0.000 title claims abstract description 25
- 239000007788 liquid Substances 0.000 title claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 48
- 239000003129 oil well Substances 0.000 claims abstract description 18
- 239000012530 fluid Substances 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 16
- 238000004519 manufacturing process Methods 0.000 claims description 14
- 230000003068 static effect Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 9
- 239000010779 crude oil Substances 0.000 claims description 6
- 238000003909 pattern recognition Methods 0.000 claims description 6
- 239000012071 phase Substances 0.000 description 4
- 238000012937 correction Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000001052 transient effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000016507 interphase Effects 0.000 description 1
- 239000007791 liquid phase Substances 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
Images
Classifications
-
- 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—Raw oil, drilling fluid or polyphasic mixtures
Landscapes
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medicinal Chemistry (AREA)
- Biochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
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 signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein,
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 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 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 signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein,
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 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 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 signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein,
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 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 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 signal acquisition sensor realizes the acquisition of four parameters of pressure P, differential pressure delta P, temperature T and dielectric constant epsilon.
Wherein,
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 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 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910630274.1A CN110794119A (en) | 2019-07-12 | 2019-07-12 | Online continuous detection method and system for water content of wellhead output liquid |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910630274.1A CN110794119A (en) | 2019-07-12 | 2019-07-12 | Online continuous detection method and system for water content of wellhead output liquid |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110794119A true CN110794119A (en) | 2020-02-14 |
Family
ID=69427394
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910630274.1A Pending CN110794119A (en) | 2019-07-12 | 2019-07-12 | Online continuous detection method and system for water content of wellhead output liquid |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110794119A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1410783A (en) * | 2001-09-30 | 2003-04-16 | 中海油田服务有限公司 | Oil deposit test ground data acquisition and processing system and data acquisition and processing method and equipment thereof |
| CN1970991A (en) * | 2006-12-06 | 2007-05-30 | 中国石油大学(北京) | Method for metering oil production yield and analyzing and optimizing operating condition of oil well and system thereof |
| CN201254989Y (en) * | 2008-07-30 | 2009-06-10 | 任鹏 | On-line detection device for water content of oil well |
| CN202995766U (en) * | 2012-12-18 | 2013-06-12 | 新疆金牛能源科技有限责任公司 | Oil well intelligent identification collection system based on Internet of Things technology |
| CN103924959A (en) * | 2013-01-10 | 2014-07-16 | 中国石油天然气股份有限公司 | Method for measuring water content in oil well production fluid |
| CN104280430A (en) * | 2014-10-14 | 2015-01-14 | 西安理工大学 | Device and method for measuring water content in crude oil |
| CN105317421A (en) * | 2015-10-19 | 2016-02-10 | 杭州创联电子技术有限公司 | oil well produced fluid water content metering system and control method |
| CN107939346A (en) * | 2017-12-20 | 2018-04-20 | 申娟 | One kind is based on the defeated integrated technique of technology of Internet of things heavy oil production collection |
| US20180245463A1 (en) * | 2016-07-21 | 2018-08-30 | Schlumbergr Technology Corporation | Method for determining a water cut of an oil-water mixture produced from an oil well |
| CN109738595A (en) * | 2019-03-07 | 2019-05-10 | 福建工程学院 | A kind of system and method based on Internet of Things detection transformer fault |
-
2019
- 2019-07-12 CN CN201910630274.1A patent/CN110794119A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1410783A (en) * | 2001-09-30 | 2003-04-16 | 中海油田服务有限公司 | Oil deposit test ground data acquisition and processing system and data acquisition and processing method and equipment thereof |
| CN1970991A (en) * | 2006-12-06 | 2007-05-30 | 中国石油大学(北京) | Method for metering oil production yield and analyzing and optimizing operating condition of oil well and system thereof |
| CN201254989Y (en) * | 2008-07-30 | 2009-06-10 | 任鹏 | On-line detection device for water content of oil well |
| CN202995766U (en) * | 2012-12-18 | 2013-06-12 | 新疆金牛能源科技有限责任公司 | Oil well intelligent identification collection system based on Internet of Things technology |
| CN103924959A (en) * | 2013-01-10 | 2014-07-16 | 中国石油天然气股份有限公司 | Method for measuring water content in oil well production fluid |
| CN104280430A (en) * | 2014-10-14 | 2015-01-14 | 西安理工大学 | Device and method for measuring water content in crude oil |
| CN105317421A (en) * | 2015-10-19 | 2016-02-10 | 杭州创联电子技术有限公司 | oil well produced fluid water content metering system and control method |
| US20180245463A1 (en) * | 2016-07-21 | 2018-08-30 | Schlumbergr Technology Corporation | Method for determining a water cut of an oil-water mixture produced from an oil well |
| CN107939346A (en) * | 2017-12-20 | 2018-04-20 | 申娟 | One kind is based on the defeated integrated technique of technology of Internet of things heavy oil production collection |
| CN109738595A (en) * | 2019-03-07 | 2019-05-10 | 福建工程学院 | A kind of system and method based on Internet of Things detection transformer fault |
Non-Patent Citations (3)
| Title |
|---|
| 中国石油天然气基团公司: "《中国石油天然气基团公司企业标准Q/SY 1722-2014 油气生产物联网系统建设规范》", 22 August 2014 * |
| 刘晓良 等: "RTU自动计量系统在艾哈代布油田的应用", 《石油规划设计》 * |
| 郭军 等: "自控系统在单井油、气、水计量中的应用", 《石油规划设计》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6155102A (en) | Method and apparatus for use in determining a property of a multiphase fluid | |
| CN107607153A (en) | A kind of Gas Hydrate In Sea Areas pilot production point monitoring system and method | |
| CN206458460U (en) | Downhole measuring device and downhole measuring system | |
| CN103994793A (en) | Multi-phase flow measuring method and device based on double gas holdup meters | |
| CN105675444B (en) | A kind of three pipe series parallel type plastic fluid funnel viscosity On-line Measuring Methods | |
| CN110578503B (en) | Method and system for determining initial water saturation of oil reservoir in polymer flooding numerical well testing | |
| CN105401933A (en) | Comprehensive exploratory well logging system and method | |
| CN105571666B (en) | Flow-compensated method and compensation device, flow sensor | |
| CN110794119A (en) | Online continuous detection method and system for water content of wellhead output liquid | |
| CN103498660A (en) | Single-well water-containing-rate remote metering device and transmission method of single-well water-containing-rate data | |
| CN201763313U (en) | Calibrating device for pulsed neutron logging tool | |
| CN106595813B (en) | Oil-water interface detector for salt cavern gas storage cavity making and oil-water interface detection method | |
| CN105089632B (en) | A kind of HTHP reservoir CO2The acquisition methods of fluid compressional wave time difference matrix parameter | |
| CN113916193A (en) | Method for calculating hydrogeological parameters of aquifer by inversion | |
| CN114814275B (en) | Dynamic calculation method and device for multiphase fluid flow velocity | |
| CN214944171U (en) | Filling device | |
| CN203572824U (en) | Novel oil product analysis device | |
| CN103529191B (en) | Novel oil product analysis device | |
| CN203463098U (en) | Single well water containing remote metering device | |
| GB2599589A (en) | Identifying liquid rheological properties from acoustic signals | |
| Hadi et al. | Fluid Viscosity Measurement with Capillary Pipe Based On Internet Of Things (IoT) | |
| CN211697652U (en) | Oil-water component measuring device based on ultrasonic method analysis | |
| AU2015391679B2 (en) | Calibration of in-line monitoring instruments in a subsea installation | |
| CN201687439U (en) | Dynamic monitoring system for oil well fluid production rate | |
| CN103452544B (en) | The online test method of tubing on-site |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201105 Address after: 300000 No. three, Dagang Oilfield, Binhai New Area, Tianjin Applicant after: DAGANG OILFIELD GROUP Co.,Ltd. Applicant after: CHINA NATIONAL PETROLEUM Corp. Address before: 300280 Dagang three, Binhai New Area, Tianjin Applicant before: DAGANG OILFIELD GROUP Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200214 |
|
| WD01 | Invention patent application deemed withdrawn after publication |