The Experts below are selected from a list of 1898859 Experts worldwide ranked by ideXlab platform

Thomas Kohl - One of the best experts on this subject based on the ideXlab platform.

  • THC simulation of halite scaling in deep geothermal single well Production
    Geothermics, 2017
    Co-Authors: Fabian Nitschke, Suzanne Held, Thomas Himmelsbach, Thomas Kohl
    Abstract:

    Using abandoned wells from oil and gas industry or dry holes, geothermal single well applications enable the prevention of drilling costs and prospecting risks which are crucial inhibitions in geothermal development. Recently, deep geothermal single wells were numerically investigated for their thermal and hydraulic performance. For the first time, we now include the chemistry of the produced brine in a fully coupled THC model for studies of scaling formation. As a case study, the 2011 circulation test of the GeneSys well Gt1 Groß-Buchholz (Hanover, Germany) was modeled successfully using the fully coupled THC code TOUGHREACT. High salinity requires application of the Pitzer ion interaction model which was verified for this particular chemical system using literature data. Modeled wellhead temperature is in very good accordance with measurements. Also simulated depth of scaling formation and total scaling volume fit to onsite observations. Evaluation of initial reservoir brine composition reveals its large impact on the range of depth where scaling occurs. Furthermore, it is shown that the presence of CaCl2reduces halite solubility considerably and favors scaling formation. Results show that our modeling concept is capable of quantifying the complex coupled THC processes in single wells.

Fabian Nitschke - One of the best experts on this subject based on the ideXlab platform.

  • THC simulation of halite scaling in deep geothermal single well Production
    Geothermics, 2017
    Co-Authors: Fabian Nitschke, Suzanne Held, Thomas Himmelsbach, Thomas Kohl
    Abstract:

    Using abandoned wells from oil and gas industry or dry holes, geothermal single well applications enable the prevention of drilling costs and prospecting risks which are crucial inhibitions in geothermal development. Recently, deep geothermal single wells were numerically investigated for their thermal and hydraulic performance. For the first time, we now include the chemistry of the produced brine in a fully coupled THC model for studies of scaling formation. As a case study, the 2011 circulation test of the GeneSys well Gt1 Groß-Buchholz (Hanover, Germany) was modeled successfully using the fully coupled THC code TOUGHREACT. High salinity requires application of the Pitzer ion interaction model which was verified for this particular chemical system using literature data. Modeled wellhead temperature is in very good accordance with measurements. Also simulated depth of scaling formation and total scaling volume fit to onsite observations. Evaluation of initial reservoir brine composition reveals its large impact on the range of depth where scaling occurs. Furthermore, it is shown that the presence of CaCl2reduces halite solubility considerably and favors scaling formation. Results show that our modeling concept is capable of quantifying the complex coupled THC processes in single wells.

Liu Hai-fen - One of the best experts on this subject based on the ideXlab platform.

  • Development Geology Key Technology for Horizontal Wells of Carbonate Gas Reservoir with Low Permeability and Thin Layer
    Natural Gas Geoscience, 2013
    Co-Authors: Liu Hai-fen
    Abstract:

    According to the developmental difficulties of horizontal well including that erosion groove is developed,main reservoir is thin,the small amplitude structure changes quickly and lateral heterogeneity is strong in Mawu1+2carbonate reservoir of Jingbian Gasfield,integrated application of seismic technique,reservoir evaluation,technical and economic analysis and numerical simulation of gas reservoir and other research methods,established a series of horizontal well development key geological technology,such as horizontal well trajectory optimization,optimization design and geosteering and trajectory adjustment.Through the application of the technology,horizontal wells effective reservoir drilling rate has achieved more than 60%,the single well Production reached 3-5times of vertical well,and the Jingbian gas field horizontal well realized large scale applications.

Jose A. Ruz-hernandez - One of the best experts on this subject based on the ideXlab platform.

  • Soft Computing for Recognition Based on Biometrics - An Approach Based on Neural Networks for Gas Lift Optimization
    Soft Computing for Recognition Based on Biometrics, 2010
    Co-Authors: Jose A. Ruz-hernandez, R. Salazar-mendoza, Ramon Garcia-hernandez, Evgen Shelomov
    Abstract:

    Using a model-based optimization, a neural network model is used to compute the optimal values of gas injection rate and oil rate of a gas lift Production system. Two cases are analyzed: a) A single well Production system and b) A Production system composed by two gas lifted wells. For both cases minimizing the objective function of the proposed strategy shows the ability of the neural networks to approximate the behavior of an oil Production system and to solve optimization problems when a mathematical model is not available. The results obtained via our approach based on neural networks for gas lift optimization are best than other approaches based on linear programming and non linear programing.

  • IJCNN - Neural networks versus Linear and Sequential Programming for Gas Lift Optimization in a two oil wells system
    2009 International Joint Conference on Neural Networks, 2009
    Co-Authors: R. Salazar-mendoza, Jose A. Ruz-hernandez
    Abstract:

    Using a model-based optimization, a neural network model is developed to calculate the optimal values of gas injection rate and oil rate of a gas lift Production system. Two cases are analyzed: a) A single well Production system and b) A Production system composed by two gas lifted wells. The results were compared with the linear and sequential programming for gas lift optimization. For both cases minimizing the objective function the proposed strategy shows the ability of the neural networks to approximate the behavior of an oil Production system and to solve optimization problems when a mathematical model is not available.

  • IFSA/EUSFLAT Conf. - Optimization of an Oil Production System using Neural Networks and Genetic Algorithms.
    2009
    Co-Authors: Guillermo Jimenez, Jose A. Ruz-hernandez, Evgen Shelomov, Ruben Salazar
    Abstract:

    This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil Production system. Two cases are analyzed: a) A single well Production system and b) A Production system composed by two gaslifted wells. For both cases an objective function is maximized to reduce Production cost. The proposed strategy shows the ability of the neural networks to approximate the behavior of an oil Production system and the genetic algorithms to solve optimization problems when a mathematical model is not available. Keywords— Genetic algorithms, injection gaslift, neural network, optimization, oil Production system, perceptron multilayer.

  • IJCNN - Obtaining an optimal gas injection rate for an oil Production system via neural networks
    2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
    Co-Authors: G.j. De La Cruz, Jose A. Ruz-hernandez, R. Salazar-mendoza
    Abstract:

    Using a model-based optimization, a neural network model is developed to calculate the optimal values of gas injection rate and oil rate of a gas lift Production system. Two cases are analyzed: a) A single well Production system and b) A Production system composed by two gas lifted wells. For both cases minimizing the objective function the proposed strategy shows the ability of the neural networks to approximate the behavior of an oil Production system and to solve optimization problems when a mathematical model is not available.

Suzanne Held - One of the best experts on this subject based on the ideXlab platform.

  • THC simulation of halite scaling in deep geothermal single well Production
    Geothermics, 2017
    Co-Authors: Fabian Nitschke, Suzanne Held, Thomas Himmelsbach, Thomas Kohl
    Abstract:

    Using abandoned wells from oil and gas industry or dry holes, geothermal single well applications enable the prevention of drilling costs and prospecting risks which are crucial inhibitions in geothermal development. Recently, deep geothermal single wells were numerically investigated for their thermal and hydraulic performance. For the first time, we now include the chemistry of the produced brine in a fully coupled THC model for studies of scaling formation. As a case study, the 2011 circulation test of the GeneSys well Gt1 Groß-Buchholz (Hanover, Germany) was modeled successfully using the fully coupled THC code TOUGHREACT. High salinity requires application of the Pitzer ion interaction model which was verified for this particular chemical system using literature data. Modeled wellhead temperature is in very good accordance with measurements. Also simulated depth of scaling formation and total scaling volume fit to onsite observations. Evaluation of initial reservoir brine composition reveals its large impact on the range of depth where scaling occurs. Furthermore, it is shown that the presence of CaCl2reduces halite solubility considerably and favors scaling formation. Results show that our modeling concept is capable of quantifying the complex coupled THC processes in single wells.