The Experts below are selected from a list of 10134 Experts worldwide ranked by ideXlab platform
Encinas Quisbert, Mauro Andres - One of the best experts on this subject based on the ideXlab platform.
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Data Driven ROP Modeling - Analysis and Feasibility Study
University of Stavanger Norway, 2020Co-Authors: Encinas Quisbert, Mauro AndresAbstract:Master's thesis in Petroleum EngineeringIncreasing the Drilling speed in wells while maintaining the operational safety standards is a challenge that many Petroleum Engineers have undertaken. In recent years, high complexity wells (Horizontal, Extended Reach, HPHT, etc.) have been drilled increasingly, this forced the industry to continue investigating which parameters involved in the Rate Of Penetration (ROP) have the most influence on its behavior. This study integrates different concepts and methodologies from Petroleum Engineering, Drill String Mechanics, Data Analysis, and Machine Learning (ML). It aims to identify the most important parameters involved in ROP, using real well data to evaluate the influence of these parameters in different ML ROP predictive models. The methodology includes the study of different physics-based ROP models, even though some of them were developed decades ago but remain relevant to this date. Improvement of these models accuracy came with the implementation of new technology and equipment on the drill site, such as Wired Drill Pipe, Precise Sensors, Top Drive Technology, Measurement While Drilling, Logging While Drilling, and many more. Those developments generated large quantities of data that companies used to store and now are proven to be relevant to understand and explain phenoms involved in Drilling a well. During the study, one parameter consistently appeared to be on top of all others Weight on Bit (WOB). All physics-based models projections are based on the accuracy of it, but in high complexity wells as the ones drilled nowadays, it is not easy to estimate, as Surface WOB (SWOB) and Downhole WOB (DWOB) values usually do not match. For this purpose, a complete well database was used to identify and extract relevant parameters and data that could allow this study to be carried. A Python code that predicts the DWOB value from surface measurements using a physics-based model, was successfully implemented. Once the data was selected and prepared, different machine learning methods were implemented to identify the best ROP predictive model. Among them, we can mention Random Forest Regressor, K-Nearest Neighbors, Artificial Neural Networks, and Long Short Term Memory. When the best model was identified (LSTM), a sensitivity analysis was held using surface and a combination of surface - calculated parameters (DWOB) as input for the model, this was done to verify that machine learning models performance can be raised by improving the quality of input parameters using Drilling Engineering knowledge, instead of relying only on a data-science approach
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Data Driven ROP Modeling - Analysis and Feasibility Study
University of Stavanger Norway, 2020Co-Authors: Encinas Quisbert, Mauro AndresAbstract:Increasing the Drilling speed in wells while maintaining the operational safety standards is a challenge that many Petroleum Engineers have undertaken. In recent years, high complexity wells (Horizontal, Extended Reach, HPHT, etc.) have been drilled increasingly, this forced the industry to continue investigating which parameters involved in the Rate Of Penetration (ROP) have the most influence on its behavior. This study integrates different concepts and methodologies from Petroleum Engineering, Drill String Mechanics, Data Analysis, and Machine Learning (ML). It aims to identify the most important parameters involved in ROP, using real well data to evaluate the influence of these parameters in different ML ROP predictive models. The methodology includes the study of different physics-based ROP models, even though some of them were developed decades ago but remain relevant to this date. Improvement of these models accuracy came with the implementation of new technology and equipment on the drill site, such as Wired Drill Pipe, Precise Sensors, Top Drive Technology, Measurement While Drilling, Logging While Drilling, and many more. Those developments generated large quantities of data that companies used to store and now are proven to be relevant to understand and explain phenoms involved in Drilling a well. During the study, one parameter consistently appeared to be on top of all others Weight on Bit (WOB). All physics-based models projections are based on the accuracy of it, but in high complexity wells as the ones drilled nowadays, it is not easy to estimate, as Surface WOB (SWOB) and Downhole WOB (DWOB) values usually do not match. For this purpose, a complete well database was used to identify and extract relevant parameters and data that could allow this study to be carried. A Python code that predicts the DWOB value from surface measurements using a physics-based model, was successfully implemented. Once the data was selected and prepared, different machine learning methods were implemented to identify the best ROP predictive model. Among them, we can mention Random Forest Regressor, K-Nearest Neighbors, Artificial Neural Networks, and Long Short Term Memory. When the best model was identified (LSTM), a sensitivity analysis was held using surface and a combination of surface - calculated parameters (DWOB) as input for the model, this was done to verify that machine learning models performance can be raised by improving the quality of input parameters using Drilling Engineering knowledge, instead of relying only on a data-science approach
Ruihe Wang - One of the best experts on this subject based on the ideXlab platform.
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pore pressure disturbance induced by multistage hydraulic fracturing in shale gas modelling and field application
Geofluids, 2019Co-Authors: Yijin Zeng, Ruihe Wang, Zizhen Wang, Yanbin Zang, Feifei Wang, Xinming Niu, Feng NiuAbstract:Currently, there is no proper method to predict the pore pressure disturbance caused by multistage fracturing in shale gas, which has challenged Drilling Engineering in practice, especially for the infilling well Drilling within/near the fractured zones. A numerical modelling method of pore pressure redistribution around the multistage fractured horizontal wellbore was put forward based on the theory of fluid transportation in porous media. The fracture network of each stage was represented by an elliptical zone with high permeability. Five stages of fracturing were modelled simultaneously to consider the interactions among fractures. The effects of formation permeability, fracturing fluid viscosity, and pressure within the fractures on the pore pressure disturbance were numerically investigated. Modelling results indicated that the pore pressure disturbance zone expands as the permeability and/or the differential pressure increases, while it decreases when the viscosity of the fracturing fluid increases. The pore pressure disturbance level becomes weaker from the fracture tip to the far field along the main-fracture propagation direction. The pore pressure disturbance contours obviously have larger slopes with the variation of permeability than those of the differential pressure. The distances between the pore pressure disturbance contours are smaller at lower permeability and higher viscosity. The modelling results of the updated pore pressure distribution are of great importance for safe Drilling. A case study of three wells within one platform showed that the modelling method could provide a reliable estimation of the pore pressure disturbance area caused by multistage fracturing.
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factors influencing pore pressure prediction in complex carbonates based on effective medium theory
Petroleum Science, 2013Co-Authors: Ruihe Wang, Zizhen Wang, Xun Shan, Hao QiuAbstract:A calculation model based on effective medium theory has been developed for predicting elastic properties of dry carbonates with complex pore structures by integrating the Kuster-Toksǒz model with a differential method. All types of pores are simultaneously introduced to the composite during the differential iteration process according to the ratio of their volume fractions. Based on this model, the effects of pore structures on predicted pore-pressure in carbonates were analyzed. Calculation results indicate that cracks with low pore aspect ratios lead to pore-pressure overestimation which results in lost circulation and reservoir damage. However, moldic pores and vugs with high pore aspect ratios lead to pore-pressure underestimation which results in well kick and even blowout. The pore-pressure deviation due to cracks and moldic pores increases with an increase in porosity. For carbonates with complex pore structures, adopting conventional pore-pressure prediction methods and casing program designs will expose the well Drilling Engineering to high uncertainties. Velocity prediction models considering the influence of pore structure need to be built to improve the reliability and accuracy of pore-pressure prediction in carbonates.
Feng Niu - One of the best experts on this subject based on the ideXlab platform.
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pore pressure disturbance induced by multistage hydraulic fracturing in shale gas modelling and field application
Geofluids, 2019Co-Authors: Yijin Zeng, Ruihe Wang, Zizhen Wang, Yanbin Zang, Feifei Wang, Xinming Niu, Feng NiuAbstract:Currently, there is no proper method to predict the pore pressure disturbance caused by multistage fracturing in shale gas, which has challenged Drilling Engineering in practice, especially for the infilling well Drilling within/near the fractured zones. A numerical modelling method of pore pressure redistribution around the multistage fractured horizontal wellbore was put forward based on the theory of fluid transportation in porous media. The fracture network of each stage was represented by an elliptical zone with high permeability. Five stages of fracturing were modelled simultaneously to consider the interactions among fractures. The effects of formation permeability, fracturing fluid viscosity, and pressure within the fractures on the pore pressure disturbance were numerically investigated. Modelling results indicated that the pore pressure disturbance zone expands as the permeability and/or the differential pressure increases, while it decreases when the viscosity of the fracturing fluid increases. The pore pressure disturbance level becomes weaker from the fracture tip to the far field along the main-fracture propagation direction. The pore pressure disturbance contours obviously have larger slopes with the variation of permeability than those of the differential pressure. The distances between the pore pressure disturbance contours are smaller at lower permeability and higher viscosity. The modelling results of the updated pore pressure distribution are of great importance for safe Drilling. A case study of three wells within one platform showed that the modelling method could provide a reliable estimation of the pore pressure disturbance area caused by multistage fracturing.
Zizhen Wang - One of the best experts on this subject based on the ideXlab platform.
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pore pressure disturbance induced by multistage hydraulic fracturing in shale gas modelling and field application
Geofluids, 2019Co-Authors: Yijin Zeng, Ruihe Wang, Zizhen Wang, Yanbin Zang, Feifei Wang, Xinming Niu, Feng NiuAbstract:Currently, there is no proper method to predict the pore pressure disturbance caused by multistage fracturing in shale gas, which has challenged Drilling Engineering in practice, especially for the infilling well Drilling within/near the fractured zones. A numerical modelling method of pore pressure redistribution around the multistage fractured horizontal wellbore was put forward based on the theory of fluid transportation in porous media. The fracture network of each stage was represented by an elliptical zone with high permeability. Five stages of fracturing were modelled simultaneously to consider the interactions among fractures. The effects of formation permeability, fracturing fluid viscosity, and pressure within the fractures on the pore pressure disturbance were numerically investigated. Modelling results indicated that the pore pressure disturbance zone expands as the permeability and/or the differential pressure increases, while it decreases when the viscosity of the fracturing fluid increases. The pore pressure disturbance level becomes weaker from the fracture tip to the far field along the main-fracture propagation direction. The pore pressure disturbance contours obviously have larger slopes with the variation of permeability than those of the differential pressure. The distances between the pore pressure disturbance contours are smaller at lower permeability and higher viscosity. The modelling results of the updated pore pressure distribution are of great importance for safe Drilling. A case study of three wells within one platform showed that the modelling method could provide a reliable estimation of the pore pressure disturbance area caused by multistage fracturing.
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factors influencing pore pressure prediction in complex carbonates based on effective medium theory
Petroleum Science, 2013Co-Authors: Ruihe Wang, Zizhen Wang, Xun Shan, Hao QiuAbstract:A calculation model based on effective medium theory has been developed for predicting elastic properties of dry carbonates with complex pore structures by integrating the Kuster-Toksǒz model with a differential method. All types of pores are simultaneously introduced to the composite during the differential iteration process according to the ratio of their volume fractions. Based on this model, the effects of pore structures on predicted pore-pressure in carbonates were analyzed. Calculation results indicate that cracks with low pore aspect ratios lead to pore-pressure overestimation which results in lost circulation and reservoir damage. However, moldic pores and vugs with high pore aspect ratios lead to pore-pressure underestimation which results in well kick and even blowout. The pore-pressure deviation due to cracks and moldic pores increases with an increase in porosity. For carbonates with complex pore structures, adopting conventional pore-pressure prediction methods and casing program designs will expose the well Drilling Engineering to high uncertainties. Velocity prediction models considering the influence of pore structure need to be built to improve the reliability and accuracy of pore-pressure prediction in carbonates.
Qing Wang - One of the best experts on this subject based on the ideXlab platform.
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Design and optimization of annular flow electromagnetic measurement system for Drilling Engineering.
Journal of Sensors, 2018Co-Authors: Qing Wang, Guohui Wei, Junbi LiaoAbstract:Using the downhole annular flow measurement system to get real-time information of downhole annular flow is the core and foundation of downhole microflux control Drilling technology. The research work of electromagnetic flowmeter in recent years creates a challenge to the design of downhole annular flow measurement. This paper proposes a design and optimization of annular flow electromagnetic measurement system for Drilling Engineering based on the finite element method. Firstly, the annular flow measuring and optimization principle are described. Secondly, a simulation model of an annular flow electromagnetic measurement system with two pairs of coil is built based on the fundamental equation of electromagnetic flowmeter by COMSOL. Thirdly, simulations of the structure of excitation system of the measurement system are carried out, and simulations of the size of the electrode’s radius are also carried out based on the optimized structure, and then all the simulation results are analyzed to evaluate the optimization effect based on the evaluation indexes. The simulation results show that optimized shapes of the excitation system and electrode size can yield a better performance in the annular flow measurement.
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Novel Annular Flow Electromagnetic Measurement System for Drilling Engineering
IEEE Sensors Journal, 2017Co-Authors: Guohui Wei, Qing WangAbstract:Downhole micro-flux control Drilling technology can effectively solve Drilling accidents, such as kick and loss in narrow density window Drilling scenarios. Using a downhole annular flow measurement system to obtain real-time information of downhole annular flow is the core and foundation of downhole micro-flux control Drilling technology. The research work of electromagnetic flowmeters in recent years creates a challenge for downhole annular flow measurement. This paper proposes a new method for an annular flow measurement system based on the electromagnetic induction principle. First, the annular flow measuring principle, the weight function, the density of virtual current, and the magnetic field of the annular flow electromagnetic measurement system are described. Second, the basic design of the annular flow electromagnetic measurement system is described. Third, model simulation and dynamic experiments on an annular flow electromagnetic measurement system are carried out. The simulation and experimental results show a linear relationship between the system output and the annular flow rate, and also verify the correctness of annular flow electromagnetic measurement theory.
