The Experts below are selected from a list of 3129 Experts worldwide ranked by ideXlab platform
Boyuan Zheng - One of the best experts on this subject based on the ideXlab platform.
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Sucker Rod Pump Working State Diagnosis Using Motor Data and Hidden Conditional Random Fields
IEEE Transactions on Industrial Electronics, 2020Co-Authors: Boyuan Zheng, Xianwen Gao, Rong PanAbstract:In oil exploitation, the short maintenance period and the poor real-time performance of dynamometer card sensors limit the timely working state diagnosis for sucker Rod Pumps (SRP). The motor is the power source of the SRP that provides all the energy required to lift the oil from underground to surface. The motor power output is highly associated with the working state of the entire equipment. Thus, this article proposes a new strategy to predict the working state of SRP based on motor power. First, seven novel features are extracted from motor power data to support the modeling and diagnosing processes, with the consideration of the significant parameters such as valve's working points and the operating cycle of SRP. Moreover, a custom-designed multiple hidden conditional random fields model with time window is employed as the classifier to identify different working states. At last, the proposed method is validated by a set of motor power data collected from wells by a self-developed device. The experimental result demonstrates the effectiveness of the proposed method for the working state diagnosis of SRPs.
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fault detection for sucker Rod Pump based on motor power
Control Engineering Practice, 2019Co-Authors: Boyuan Zheng, Xianwen GaoAbstract:Abstract Computer-aided fault detection for sucker Rod Pump is a crucial technology to monitor wells in the oil pRoduction. According to the detection results, engineers could take corresponding measures to ensure wells operating in a safe and pRoductive state. Generally, the conventional approaches to address this problem are mainly based on dynamometer cards, but these methods have obvious defects in security risks and high maintenance cost in the application. Noteworthy, the motor is the energy resource of sucker Rod Pump and the change of motor’s power could reflect the variation of the working states. Therefore, in this paper, a novel method based on motor power for detecting the working state of the sucker Rod Pump is proposed. In this method, a set of the labeled motor power curve is essential. To obtain this vital information resource, the motor power curves are labeled by transforming them into dynamometer cards, which fully consider many crucial factors in this process. Moreover, to obtain useful information from motor power data, eight novel features are defined by analyzing the mechanism of motor work and the data distribution of the curve. Subsequently, the hidden Markov model (HMM), a probabilistic model with the double stochastic process, is employed to map the relationships between motor power data and working states. At last, the proposed method is verified experimentally using an oil dataset collected from oil field including six different working states, and then this technique is compared with some other methods. In the comparison, the proposed method gives 91.7% correct diagnosis that is higher than the 72.9% of SVM and the 62.5% of ANN. The experimental results show that the performance using the method proposed in this paper is satisfactory.
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diagnosis of sucker Rod Pump based on generating dynamometer cards
Journal of Process Control, 2019Co-Authors: Boyuan Zheng, Xianwen GaoAbstract:Abstract The dynamometer cards (DC) are the data shown as closed curves collected from Sucker Rod Pumps, which are essential evidence to monitor the working states in modern oil are engineering. To meet the actual needs of oil fields, recently, the computer-aided diagnosis techniques are becoming useful measurements to help engineers monitoring the wells. Nevertheless, how to collect the various kinds of fault data from a well is always a puzzle for the application of the computer-aided methods, because of a well hardly experiences many types of faulty working states. The typical solution for this problem is building an album containing DCs collected from different wells, but this approach neglects the property differences between wells, which may influence the diagnosis accuracy. In order to address this tough issue, in this paper, a novel approach regarding generating DCs is proposed based on the analysis of the mechanism of a sucker Rod Pump (SRP) at normal and several faulty scenarios. This method could use the pRoductive parameters and operation rules of a well to calculate the DCs at different working states based on dynamic mechanism analysis. Subsequently, according to the data support of generating DCs, the Hidden Markov Models under a specifically designed framework is used to build the relationships between DCs and working states. At last, the proposed method is verified experimentally through the pRoductive parameters of many wells collected from an oilfield, and then some conventional techniques are employed in the comparison studies. The obtained results demonstrate the effectiveness of the proposed method for diagnosing the working states of Sucker Rod Pumps.
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Diagnosis for Sucker Rod Pumps Using Bayesian Networks and Dynamometer Card
2019 Prognostics and System Health Management Conference (PHM-Qingdao), 2019Co-Authors: Boyuan ZhengAbstract:The automatic diagnosis for sucker Rod Pump (SRP) is an essential measurement to ensure the oil fields' interests in the oil recovery. As the important information resource on monitoring and diagnosis, the dynamometer card (DC) plays an irreplaceable role in oil engineering. In the application, how to use DC to fulfill the diagnosis is always the key to this problem. Thus, a novel method based on load analysis and Bayesian network is proposed in this paper. At first off, DC's coordinate is transformed to cater to the load analysis, which provides an instinctive way for analyzing. After that, five statistical features and Shannon entropy are extracted from the DC, which are employed as the input of the Bayesian network (BN) presented in the particular framework. At last, a set of field dynamometer card is employed as the experimental data and the experimental results demonstrate the feasibility and superiority of the proposed method for diagnosing the working states of SRPs.
Xianwen Gao - One of the best experts on this subject based on the ideXlab platform.
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Sucker Rod Pump Working State Diagnosis Using Motor Data and Hidden Conditional Random Fields
IEEE Transactions on Industrial Electronics, 2020Co-Authors: Boyuan Zheng, Xianwen Gao, Rong PanAbstract:In oil exploitation, the short maintenance period and the poor real-time performance of dynamometer card sensors limit the timely working state diagnosis for sucker Rod Pumps (SRP). The motor is the power source of the SRP that provides all the energy required to lift the oil from underground to surface. The motor power output is highly associated with the working state of the entire equipment. Thus, this article proposes a new strategy to predict the working state of SRP based on motor power. First, seven novel features are extracted from motor power data to support the modeling and diagnosing processes, with the consideration of the significant parameters such as valve's working points and the operating cycle of SRP. Moreover, a custom-designed multiple hidden conditional random fields model with time window is employed as the classifier to identify different working states. At last, the proposed method is validated by a set of motor power data collected from wells by a self-developed device. The experimental result demonstrates the effectiveness of the proposed method for the working state diagnosis of SRPs.
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fault detection for sucker Rod Pump based on motor power
Control Engineering Practice, 2019Co-Authors: Boyuan Zheng, Xianwen GaoAbstract:Abstract Computer-aided fault detection for sucker Rod Pump is a crucial technology to monitor wells in the oil pRoduction. According to the detection results, engineers could take corresponding measures to ensure wells operating in a safe and pRoductive state. Generally, the conventional approaches to address this problem are mainly based on dynamometer cards, but these methods have obvious defects in security risks and high maintenance cost in the application. Noteworthy, the motor is the energy resource of sucker Rod Pump and the change of motor’s power could reflect the variation of the working states. Therefore, in this paper, a novel method based on motor power for detecting the working state of the sucker Rod Pump is proposed. In this method, a set of the labeled motor power curve is essential. To obtain this vital information resource, the motor power curves are labeled by transforming them into dynamometer cards, which fully consider many crucial factors in this process. Moreover, to obtain useful information from motor power data, eight novel features are defined by analyzing the mechanism of motor work and the data distribution of the curve. Subsequently, the hidden Markov model (HMM), a probabilistic model with the double stochastic process, is employed to map the relationships between motor power data and working states. At last, the proposed method is verified experimentally using an oil dataset collected from oil field including six different working states, and then this technique is compared with some other methods. In the comparison, the proposed method gives 91.7% correct diagnosis that is higher than the 72.9% of SVM and the 62.5% of ANN. The experimental results show that the performance using the method proposed in this paper is satisfactory.
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diagnosis of sucker Rod Pump based on generating dynamometer cards
Journal of Process Control, 2019Co-Authors: Boyuan Zheng, Xianwen GaoAbstract:Abstract The dynamometer cards (DC) are the data shown as closed curves collected from Sucker Rod Pumps, which are essential evidence to monitor the working states in modern oil are engineering. To meet the actual needs of oil fields, recently, the computer-aided diagnosis techniques are becoming useful measurements to help engineers monitoring the wells. Nevertheless, how to collect the various kinds of fault data from a well is always a puzzle for the application of the computer-aided methods, because of a well hardly experiences many types of faulty working states. The typical solution for this problem is building an album containing DCs collected from different wells, but this approach neglects the property differences between wells, which may influence the diagnosis accuracy. In order to address this tough issue, in this paper, a novel approach regarding generating DCs is proposed based on the analysis of the mechanism of a sucker Rod Pump (SRP) at normal and several faulty scenarios. This method could use the pRoductive parameters and operation rules of a well to calculate the DCs at different working states based on dynamic mechanism analysis. Subsequently, according to the data support of generating DCs, the Hidden Markov Models under a specifically designed framework is used to build the relationships between DCs and working states. At last, the proposed method is verified experimentally through the pRoductive parameters of many wells collected from an oilfield, and then some conventional techniques are employed in the comparison studies. The obtained results demonstrate the effectiveness of the proposed method for diagnosing the working states of Sucker Rod Pumps.
Dechun Chen - One of the best experts on this subject based on the ideXlab platform.
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Calculation Method for Inflow Performance Relationship in Sucker Rod Pump Wells Based on Real-Time Monitoring Dynamometer Card
Geofluids, 2020Co-Authors: Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun ChenAbstract:Based on the informatization and intelligent construction of an oilfield, this paper proposes a new method for calculating inflow performance relationship in sucker Rod Pump wells, which solves the limitations of current IPR curve calculation method in practical application. By analyzing the forming principle of the dynamometer card, the plate of abnormal dynamometer card is created innovatively, and the recognition model of abnormal dynamometer card based on “feature recognition” is established to ensure the accuracy of the dynamometer card. By analyzing the curvature of each point on the curve of downhole Pump dynamometer card, the opening and closing points of standing valve and traveling valve are determined, and the models for calculating fluid pRoduction and bottom hole flowing pressure are established to obtain the data of fluid pRoduction and bottom hole flowing pressure of sucker Rod Pump wells. Finally, a calculation model of inflow performance relationship fitted with the calculated fluid pRoduction and bottom hole flowing pressure data based on genetic algorithm is established to realize calculation of oil well inflow performance relationship curve. The field application and analysis results show that the inflow performance relationship curve calculated by the model in this paper fits well with the measured data points, indicating that the calculation model has high accuracy and can provide theoretical and technical support for the field. Moreover, the real-time acquisition of dynamometer cards can provide real-time data source for this method, improve the timeliness of oil well pRoduction analysis, and help to reduce the pRoduction management costs and improve the pRoduction efficiency and benefit.
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A real-time diagnosis method of reservoir-wellbore-surface conditions in sucker-Rod Pump wells based on multidata combination analysis
Journal of Petroleum Science and Engineering, 2024Co-Authors: Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun ChenAbstract:Abstract This paper proposes a real-time diagnosis method that addresses the limitations of traditional "dynamometer cards" used for sucker-Rod Pump performance analysis. The "power vs. position plots" are proposed to demonstrate an improved diagnostic method for Rod Pump performance. On this basis, the working condition diagnosis plate of the sucker-Rod Pump well is created. The eigenvalues of dynamometer cards and "power vs. position plots" under different working conditions are extracted, and a combined diagnosis model based on feature recognition is established. The model not only diagnoses the wellbore condition but also the surface condition, which improves the diagnosis effect and expands the diagnosis range. In addition, considering the surface dynamometer card as the known condition, the one-dimensional damping wave equation is used to solve the downhole Pump dynamometer card. By analyzing the change law of the Pump-load slope-time relationship curve, the opening and closing points of the Pump valve are accurately extracted, and the load difference between the upstroke and downstroke, and the effective stroke of the downhole Pump dynamometer card are determined. On this basis, a calculation model of the dynamic fluid level and fluid pRoduction is established to determine the change in reservoir energy and analyze the supply and discharge relationship of the sucker-Rod Pump wells. Combined with the online collection of the surface dynamometer cards and "power vs. position plots," the real-time diagnosis of oil well pRoduction systems can be realized. This can effectively improve the timeliness of sucker-Rod Pump performance analysis, reduce pRoduction management costs, and improve the pRoduction efficiency and benefits of the oilfield.
Ruichao Zhang - One of the best experts on this subject based on the ideXlab platform.
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Calculation Method for Inflow Performance Relationship in Sucker Rod Pump Wells Based on Real-Time Monitoring Dynamometer Card
Geofluids, 2020Co-Authors: Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun ChenAbstract:Based on the informatization and intelligent construction of an oilfield, this paper proposes a new method for calculating inflow performance relationship in sucker Rod Pump wells, which solves the limitations of current IPR curve calculation method in practical application. By analyzing the forming principle of the dynamometer card, the plate of abnormal dynamometer card is created innovatively, and the recognition model of abnormal dynamometer card based on “feature recognition” is established to ensure the accuracy of the dynamometer card. By analyzing the curvature of each point on the curve of downhole Pump dynamometer card, the opening and closing points of standing valve and traveling valve are determined, and the models for calculating fluid pRoduction and bottom hole flowing pressure are established to obtain the data of fluid pRoduction and bottom hole flowing pressure of sucker Rod Pump wells. Finally, a calculation model of inflow performance relationship fitted with the calculated fluid pRoduction and bottom hole flowing pressure data based on genetic algorithm is established to realize calculation of oil well inflow performance relationship curve. The field application and analysis results show that the inflow performance relationship curve calculated by the model in this paper fits well with the measured data points, indicating that the calculation model has high accuracy and can provide theoretical and technical support for the field. Moreover, the real-time acquisition of dynamometer cards can provide real-time data source for this method, improve the timeliness of oil well pRoduction analysis, and help to reduce the pRoduction management costs and improve the pRoduction efficiency and benefit.
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A real-time diagnosis method of reservoir-wellbore-surface conditions in sucker-Rod Pump wells based on multidata combination analysis
Journal of Petroleum Science and Engineering, 2024Co-Authors: Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun ChenAbstract:Abstract This paper proposes a real-time diagnosis method that addresses the limitations of traditional "dynamometer cards" used for sucker-Rod Pump performance analysis. The "power vs. position plots" are proposed to demonstrate an improved diagnostic method for Rod Pump performance. On this basis, the working condition diagnosis plate of the sucker-Rod Pump well is created. The eigenvalues of dynamometer cards and "power vs. position plots" under different working conditions are extracted, and a combined diagnosis model based on feature recognition is established. The model not only diagnoses the wellbore condition but also the surface condition, which improves the diagnosis effect and expands the diagnosis range. In addition, considering the surface dynamometer card as the known condition, the one-dimensional damping wave equation is used to solve the downhole Pump dynamometer card. By analyzing the change law of the Pump-load slope-time relationship curve, the opening and closing points of the Pump valve are accurately extracted, and the load difference between the upstroke and downstroke, and the effective stroke of the downhole Pump dynamometer card are determined. On this basis, a calculation model of the dynamic fluid level and fluid pRoduction is established to determine the change in reservoir energy and analyze the supply and discharge relationship of the sucker-Rod Pump wells. Combined with the online collection of the surface dynamometer cards and "power vs. position plots," the real-time diagnosis of oil well pRoduction systems can be realized. This can effectively improve the timeliness of sucker-Rod Pump performance analysis, reduce pRoduction management costs, and improve the pRoduction efficiency and benefits of the oilfield.
Yuqiong Yin - One of the best experts on this subject based on the ideXlab platform.
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Calculation Method for Inflow Performance Relationship in Sucker Rod Pump Wells Based on Real-Time Monitoring Dynamometer Card
Geofluids, 2020Co-Authors: Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun ChenAbstract:Based on the informatization and intelligent construction of an oilfield, this paper proposes a new method for calculating inflow performance relationship in sucker Rod Pump wells, which solves the limitations of current IPR curve calculation method in practical application. By analyzing the forming principle of the dynamometer card, the plate of abnormal dynamometer card is created innovatively, and the recognition model of abnormal dynamometer card based on “feature recognition” is established to ensure the accuracy of the dynamometer card. By analyzing the curvature of each point on the curve of downhole Pump dynamometer card, the opening and closing points of standing valve and traveling valve are determined, and the models for calculating fluid pRoduction and bottom hole flowing pressure are established to obtain the data of fluid pRoduction and bottom hole flowing pressure of sucker Rod Pump wells. Finally, a calculation model of inflow performance relationship fitted with the calculated fluid pRoduction and bottom hole flowing pressure data based on genetic algorithm is established to realize calculation of oil well inflow performance relationship curve. The field application and analysis results show that the inflow performance relationship curve calculated by the model in this paper fits well with the measured data points, indicating that the calculation model has high accuracy and can provide theoretical and technical support for the field. Moreover, the real-time acquisition of dynamometer cards can provide real-time data source for this method, improve the timeliness of oil well pRoduction analysis, and help to reduce the pRoduction management costs and improve the pRoduction efficiency and benefit.
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A real-time diagnosis method of reservoir-wellbore-surface conditions in sucker-Rod Pump wells based on multidata combination analysis
Journal of Petroleum Science and Engineering, 2024Co-Authors: Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun ChenAbstract:Abstract This paper proposes a real-time diagnosis method that addresses the limitations of traditional "dynamometer cards" used for sucker-Rod Pump performance analysis. The "power vs. position plots" are proposed to demonstrate an improved diagnostic method for Rod Pump performance. On this basis, the working condition diagnosis plate of the sucker-Rod Pump well is created. The eigenvalues of dynamometer cards and "power vs. position plots" under different working conditions are extracted, and a combined diagnosis model based on feature recognition is established. The model not only diagnoses the wellbore condition but also the surface condition, which improves the diagnosis effect and expands the diagnosis range. In addition, considering the surface dynamometer card as the known condition, the one-dimensional damping wave equation is used to solve the downhole Pump dynamometer card. By analyzing the change law of the Pump-load slope-time relationship curve, the opening and closing points of the Pump valve are accurately extracted, and the load difference between the upstroke and downstroke, and the effective stroke of the downhole Pump dynamometer card are determined. On this basis, a calculation model of the dynamic fluid level and fluid pRoduction is established to determine the change in reservoir energy and analyze the supply and discharge relationship of the sucker-Rod Pump wells. Combined with the online collection of the surface dynamometer cards and "power vs. position plots," the real-time diagnosis of oil well pRoduction systems can be realized. This can effectively improve the timeliness of sucker-Rod Pump performance analysis, reduce pRoduction management costs, and improve the pRoduction efficiency and benefits of the oilfield.
