Simulating Downhole Temperature Logging Data for Optimum Downhole Production Surveillance

2021 ◽  
Author(s):  
Gibran M. Hashmi ◽  
Farrukh Hamza ◽  
Mehdi Azari
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Flow Rate ◽  
Reservoir Management ◽  
Temperature Measurements ◽  
Transient Temperature ◽  
Flow Profile ◽  
Measured Temperature ◽  
Temperature Modeling ◽  
Time Flow

Abstract Reservoir management best practices originate from efficient well operations. The fluid flow profile from individual wells can change over time, sometimes unpredictably; as the reservoirs become depleted, changes in hydrocarbon properties occur, and water cut begins to increase. During primary, secondary, and tertiary recovery from conventional and unconventional wells, production surveillance is pivotal for optimum reservoir management. Determining the downhole production flow profile from multiple zones helps to manage drawdown pressure, regulate surface choke settings, and mitigate excessive water production. This paper presents a rigorous mechanistic analysis of the heat transfer and fluid flow around the wellbore to aid in determining a generalized wellbore flow profile. The approach enables the calculation of multiphase rates independently of downhole spinner data and is based almost solely on temperature measurements. Because temperature measurements are reliable and more commonly available, the method provides a robust technique to determine flow contributions across a broad spectrum of surveillance applications. The technique is shown to work with other logs, such as capacitance, fluid density, and gas holdup tool, to relay more refined information about fluid phases during production. The methodology presents an application of transient-temperature modeling for computing flow rates from temperature data obtained during a wireline run. The approach includes an analytical wellbore fluid transient-temperature model. Temperature calculations depend on mass flow rate and flow duration; therefore, an inversion technique is applied to match the measured temperature and calculated temperature for a given time duration to estimate flow rate. The model is observed to depend on determining an accurate geothermal gradient, particularly in cases of early time flow. The various heat transfer resistances in the system are calculated based on the completion mechanics. The method also accounts for the effect of friction and pressure drop in the wellbore on fluid temperature. The case study included demonstrates the utility and value of the transient model. The transient nature of the model also facilitates multiple applications. Real-time flow rate monitoring, zonal contributions, flow behind casing, quantitative determination of leaks, and completion integrity are all potential applications of the proposed method. The transient-temperature modeling methodology can be used with production logging spinners to calibrate the model and provide a permanent downhole monitoring tool to help avoid costly logging reruns. The study provides a foundation for various applications arising from conventional production logging measurements and could be particularly useful in cases, such as offshore fields, where more evolved unconventional techniques can be difficult and costly to apply.

scholarly journals Dynamic Identification of Thermodynamic Parameters for Turbocharger Compressor Models

2015 ◽  
Vol 137 (10) ◽  
Author(s):  
R. D. Burke ◽  
P. Olmeda ◽  
J. R. Serrano
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Coefficient ◽  
Transfer Coefficient ◽  
Convective Heat Transfer Coefficient ◽  
Sensitivity Study ◽  
Temperature Measurements ◽  
Transient Condition ◽  
Transient Temperature ◽  
Dynamic Identification ◽  
Industry Standard

A novel experimental procedure is presented which allows simultaneous identification of heat and work transfer parameters for turbocharger compressor models. The method introduces a thermally transient condition and uses temperature measurements to extract the adiabatic efficiency and internal convective heat transfer coefficient simultaneously, thus capturing the aerodynamic and thermal performance. The procedure has been implemented both in simulation and experimentally on a typical turbocharger gas stand facility. Under ideal conditions, the new identification predicted adiabatic efficiency to within 1% point1 and heat transfer coefficient to within 1%. A sensitivity study subsequently showed that the method is particularly sensitive to the assumptions of heat transfer distribution pre- and postcompression. If 20% of the internal area of the compressor housing is exposed to the low pressure intake gas, and this is not correctly assumed in the identification process, errors of 7–15% points were observed for compressor efficiency. This distribution in heat transfer also affected the accuracy of heat transfer coefficient which increased to 20%. Thermocouple sensors affect the transient temperature measurements and in order to maintain efficiency errors below 1%, probes with diameter of less than 1.5 mm should be used. Experimentally, the method was shown to reduce the adiabatic efficiency error at 90 krpm and 110 krpm compared to industry-standard approach from 6% to 3%. However at low speeds, where temperature differences during the identification are small, the method showed much larger errors.

scholarly journals Dynamic Identification of Thermodynamic Parameters for Turbocharger Compressor Models

2014 ◽  
Author(s):  
Richard Burke ◽  
Pablo Olmeda ◽  
José Ramón Serrano
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Coefficient ◽  
Transfer Coefficient ◽  
Convective Heat Transfer Coefficient ◽  
Sensitivity Study ◽  
Temperature Measurements ◽  
Transient Condition ◽  
Transient Temperature ◽  
Dynamic Identification ◽  
Industry Standard

A novel experimental procedure is presented which allows simultaneous identification of heat and work transfer parameters for turbocharger compressor models. The method introduces a thermally transient condition and uses temperature measurements to extract the adiabatic efficiency and internal convective heat transfer coefficient simultaneously, thus capturing the aerodynamic and thermal performance. The procedure has been implemented both in simulation and experimentally on a typical turbocharger gas stand facility. Under ideal conditions, the new identification predicted adiabatic efficiency to within 1%point and heat transfer coefficient to within 1%. A sensitivity study subsequently showed that the method is particularly sensitive to the assumptions of heat transfer distribution pre and post compression. If 20% of the internal area of the compressor housing is exposed to the low pressure intake gas, and this is not correctly assumed in the identification process, errors of 7–15%points were observed for compressor efficiency. This distribution in heat transfer also affected the accuracy of heat transfer coefficient which increased to 20%. Thermocouple sensors affect the transient temperature measurements and in order to maintain efficiency errors below 1%, probes with diameter of less than 1.5mm should be used. Experimentally, the method was shown to reduce the adiabatic efficiency error at 90krpm and 110krpm compared to industry standard approach from 6% to 3%. However at low speeds, where temperature differences during the identification are small, the method showed much larger errors.

Modeling Reservoir Temperature Transients and Reservoir-Parameter Estimation Constrained to the Model

2010 ◽  
Vol 13 (06) ◽  
pp. 873-883 ◽  
Author(s):  
Obinna O. Duru ◽  
Roland N. Horne
Keyword(s):  
Flow Rate ◽  
Oil And Gas ◽  
Mechanistic Model ◽  
Operator Splitting ◽  
Temperature Data ◽  
Temperature Measurements ◽  
Solution Technique ◽  
Measured Temperature ◽  
Reservoir Temperature ◽  
Temperature Transient

Summary Permanent downhole gauges (PDGs) provide a continuous source of downhole pressure, temperature, and sometimes flow-rate data. Until recently, the measured temperature data have been largely ignored, although a close observation of the temperature measurements reveals a response to changes in flow rate and pressure. This suggests that the temperature measurements may be a useful source of reservoir information. In this study, reservoir temperature-transient models were developed for single- and multiphase-fluid flows, as functions of formation parameters, fluid properties, and changes in flow rate and pressure. The pressure fields in oil- and gas-bearing formations are usually transient, and this gives rise to pressure/temperature effects appearing as temperature change. The magnitudes of these effects depend on the properties of the formation, flow geometry, time, and other factors and result in a reservoir temperature distribution that is changing in both space and time. In this study, these thermometric effects were modeled as convective, conductive, and transient phenomena with consideration for time and space dependencies. This mechanistic model included the Joule-Thomson effects resulting from fluid compressibility and viscous dissipation in the reservoir during fluid flow. Because of the nature of the models, the semianalytical solution technique known as operator splitting was used to solve them, and the solutions were compared to synthetic and real temperature data. In addition, by matching the models to different temperature-transient histories obtained from PDGs, reservoir parameters such as average porosity, near-well permeabilities, saturation, and some thermal properties of the fluid and formation could be estimated. A key target of this work was to show that temperature measurements, often ignored, can be used to estimate reservoir parameters, as a complement to other more-conventional techniques.

Vision-Based Real-Time Microflow-Rate Control System for Cell Analysis

2016 ◽  
Vol 28 (6) ◽  
pp. 854-861 ◽  
Author(s):  
Tadayoshi Aoyama ◽  
◽  
Amalka De Zoysa ◽  
Qingyi Gu ◽  
Takeshi Takaki ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Control System ◽  
Real Time ◽  
Flow Rate ◽  
Rate Control ◽  
Microfluidic Devices ◽  
Cell Analysis ◽  
Time Flow ◽  
On Chip ◽  
Flow Rate Control

[abstFig src='/00280006/09.jpg' width='300' text='Snapshots of particle sorting experiment using our system' ] On-chip cell analysis is an important issue for microtechnology research, and microfluidic devices are frequently used in on-chip cell analysis systems. One approach to controlling the fluid flow in microfluidic devices for cell analysis is to use a suitable pumps. However, it is difficult to control the actual flow-rate in a microfluidic device because of the difficulty in placing flow-rate sensors in the device. In this study, we developed a real-time flow-rate control system that uses syringe pumps and high-speed vision to measure the actual fluid flow in microfluidic devices. The developed flow-rate control system was verified through experiments on microparticle velocity control and microparticle sorting.

scholarly journals Analysis of the effect of ultrasonic vibration on nanofluid as coolant in engine radiator

2021 ◽  
Vol 5 (5 (113)) ◽  
pp. 6-13
Author(s):  
Sudarmadji Sudarmadji ◽  
Santoso Santoso ◽  
Sugeng Hadi Susilo
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Coefficient ◽  
Fluid Flow ◽  
Transfer Coefficient ◽  
Ultrasonic Vibration ◽  
Flow Rate ◽  
Volume Concentration ◽  
Aluminum Oxide Nanoparticles ◽  
Particle Volume ◽  
Overall Heat Transfer Coefficient

The paper discusses the combined methods of increasing heat transfer, effects of adding nanofluids and ultrasonic vibration in the radiator using radiator coolant (RC) as a base fluid. The aim of the study is to determine the effect of nanoparticles in fluids (nanofluid) and ultrasonic vibration on the overall heat transfer coefficient in the radiator. Aluminum oxide nanoparticles of 20–50 nm in size produced by Zhejiang Ultrafine powder & Chemical Co, Ltd China were used, and the volume concentration of the nanoparticles varied from 0.25 %, 0.30 % and 0.35 %. By adjusting the fluid flow temperature of the radiator from 60 °C to 80 °C, the fluid flow rate varies from 7 to 11 lpm. The results showed that the addition of nanoparticles and ultrasonic vibration to the radiator coolant increases the overall heat transfer coefficient by 62.7 % at a flow rate of 10 liter per minute and temperature of 80 °C for 0.30 % particles volume concentration compared to pure RC without vibration. The effect of ultrasonic vibration on pure radiator coolant without vibration increases the overall heat transfer coefficient by 9.8 % from 385.3 W/m2·°C to 423.3 W/m2·°C at a flow rate of 9 liter per minute at a temperature of 70 °C. The presence of particles in the cooling fluid improves the overall heat transfer coefficient due to the effect of ultrasonic vibrations, nanofluids with a volume concentration of 0.25 % and 0.30 % increased about 10.1 % and 15.7 %, respectively, compared to no vibration. While, the effect of nanoparticles on pure radiator coolant at 70 °C enhanced the overall heat transfer coefficient by about 39.6 % at a particle volume concentration of 0.35 % compared to RC, which is 390.4 W/m2·°C to 545.1 W/m2·°C at 70 °C at a flow rate of 10 liter per minute

Study on the Flow and Heat Transfer Characteristics of Micro-Scale Droplets and Fluid on Dynamic Liquid Film Condition by Lattice Boltzmann Method

2019 ◽  
Author(s):  
Yichao He ◽  
Yan Li ◽  
Zhuang Ding ◽  
Han Yuan ◽  
Ning Mei
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Liquid Film ◽  
Flow Rate ◽  
Microfluidic Chip ◽  
Lattice Boltzmann ◽  
Wall Surface ◽  
Heat Transfer Characteristics ◽  
Flow And Heat Transfer ◽  
Boltzmann Method

Abstract The lab on a chip is of great value in the analytical chemistry, biology and pharmacy. So that it is very important to study the formation and control of droplet in chips. The fluid flowing under the condition of dynamic liquid film is researched innovatively in this paper. Its inspiration is derived from bionics (fish skin, etc.), which has a broad application prospect in reducing the resistance in water and weakening the heat transfer. Dynamic liquid film refers to the dynamic thin liquid layer with the hydrophilic property on the surface of wall under the pressure of outside fluid flow. The insolubility between liquid film and fluid creates a relatively stable flowing environment. In this paper, the formation and influencing factors of the droplet in the microfluidic chip are studied by the Lattice Boltzmann method (LBM), and the flow and heat transfer characteristics of fluid in microchannel is studied with microfluidic chip as the carrier under the condition of insoluble dynamic liquid film existing on the wall surface. LBM has certain advantages in boundary processing, parallel operation and tracing phase interface automatically. Using SC model of LBM (for two component flow), the process of formation and movement of the droplet in microfluidic chip are simulated numerically after verified by Laplace‘s law. The result shows that the hydrophobic characteristics between the discrete phase and the wall surface and increased flow rate of the continuous phase will decrease the droplets’ volume and increase the producing frequency. In addition, the fluid flow in the microchannel is simulated under the condition of insoluble dynamic liquid film on the wall surface. The simulation result shows that when the fluid flow rate increases, the friction loss decreases and the heat transfer capacity decreases with the existence of the liquid film. The lower the dissolution trend between fluid and liquid film is, the greater the variation trend of fluid parameters will be. By comparing the results of experiment and simulation, the consistent results are obtained.

Development and Fundamental Characteristics of a Prototype Magnetocaloric Heat Pump

2011 ◽  
Vol 1310 ◽  
Author(s):  
Tsuyoshi Kawanami ◽  
Shigeki Hirano
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Heat Exchange ◽  
Heat Pump ◽  
Flow Rate ◽  
Rotational Frequency ◽  
Heat Transfer Fluid ◽  
Maximum Temperature ◽  
Heat Transfer Characteristics ◽  
Transfer Characteristics

ABSTRACTThe primary objective of this study is to discuss the optimum operating conditions of magnetocaloric heat pumps according to the fundamental heat transfer characteristics of an active magnetic regenerator (AMR) bed. The AMR cycle has four sequential processes: magnetization, heat exchange fluid flow, demagnetization, and heat exchange fluid blow. The fundamental heat transfer characteristics of each process of the AMR cycle is investigated minutely. Moreover, the cooling power and the overall system performance are evaluated when the system is running continuously.In addition to the aforementioned investigation, we have developed a prototype rotational magnetocaloric heat pump having a compact component arrangement and an uncomplicated control system. A performance evaluation has been conducted to obtain the optimum conditions for practical operation. The operation parameters such as the heat transfer fluid flow rate, rotational frequency, and initial temperature of the heat transfer fluid are examined, and the variations of the maximum temperature span between the inlet and outlet for the heat transfer fluid are discussed. As a result, the values of the optimum rotational frequency and flow rate are obtained to obtain the maximum temperature span between the inlet and outlet of the present magnetocaloric heat pump.

Combined Parameter and Function Estimation in Heat Transfer With Application to Contact Conductance

1988 ◽  
Vol 110 (4b) ◽  
pp. 1046-1058 ◽  
Author(s):  
J. V. Beck
Keyword(s):  
Heat Transfer ◽  
Parameter Estimation ◽  
Heat Conduction Problem ◽  
Thermal Contact ◽  
Temperature Measurements ◽  
Thermal Contact Conductance ◽  
Transient Temperature ◽  
Function Estimation ◽  
Contact Conductance

This paper discusses parameter estimation, function estimation, and a combination of the two. An example of parameter estimation is the determination of thermal conductivity of solids from transient temperature measurements. An example of function estimation is the inverse heat conduction problem, which uses transient temperature measurements to determine the surface heat flux history. The examples used herein involve the determination of the thermal contact conductance. Two sets of very good data are analyzed. One set of steady-state data was obtained by Antonetti and Eid (1987). The other set was obtained by Moses and Johnson (1986) under transient conditions for periodic contact. Both sets of data are used to illustrate parameter, function, and combined estimation. It is demonstrated that the proposed methods are more powerful then commonly accepted methods. Many other heat transfer problems can be treated using the proposed techniques.

scholarly journals Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 195
Author(s):  
Xin Lu ◽  
Hui Li ◽  
Ning Chen
Keyword(s):  
Heat Transfer ◽  
Heat Conduction ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Porous Electrodes ◽  
Transient Temperature ◽  
Measured Temperature ◽  
Conduction Model ◽  
Heat Conduction Model ◽  
Fractional Heat Conduction

Research on the heat transfer characteristics of lithium-ion batteries is of great significance to the thermal management system of electric vehicles. The electrodes of lithium-ion batteries are composed of porous materials, and thus the heat conduction of the battery is not a standard form of diffusion. The traditional heat conduction model is not suitable for lithium-ion batteries. In this paper, a fractional heat conduction model is used to study the heat transfer properties of lithium-ion batteries. Firstly, the heat conduction model of the battery is established based on the fractional calculus theory. Then, the temperature characteristic test was carried out to collect the temperature of the battery in various operating environments. Finally, the temperature calculated by the fractional heat conduction model was compared with the measured temperature. The results show that the accuracy of fractional heat conduction model is higher than that of traditional heat conduction model. The fractional heat conduction model can well simulate the transient temperature field of the battery. The fractional heat conduction model can be used to monitor the temperature of the battery, so as to ensure the safety and stability of the battery performance.

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