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Information Journal Paper

Title

ESTIMATION OF ELASTIC PARAMETERS IN OIL RESERVOIR WITH USING WELL LOG INFORMATION AND NEURAL NETWORK

Pages

  21-31

Abstract

 Prediction of ELASTIC PARAMETERS has an important role in the development of oil field.ELASTIC PARAMETERS are important properties, so by knowing them, we can find some variable parameters in reservoir, like pressure, to find the location of oil. In addition, ELASTIC PARAMETERS have an important part in the study of isotropy and anisotropy in the earth.Moreover, ELASTIC PARAMETERS are a basic way in computing geomechanics parameters in reservoir. For calculation of ELASTIC PARAMETERS, we should know compressional wave velocity, shear wave velocity and total density. However, measuring shear wave is difficult and expensive.Therefore in this study we used ARTIFICIAL NEURAL NETWORKS for better result. The neural network, which we used, is a feed forward back propagation with three layers and it is made of four neurons in input layer, twelve neurons in hidden layer and one neuron in output layer.With appropriate correlation coefficient in validation process (R=0.91).We used compressional wave velocity, gamma ray, porosity and density for input and shear wave velocity as output, till our network is trained. Then, we can use every well data for input for estimating shear wave velocity and finally ELASTIC PARAMETERS.

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    Cite

    APA: Copy

    SABZEHPARVAR, MOHAMMAD, & NABI BIDHENDI, MAJID. (2008). ESTIMATION OF ELASTIC PARAMETERS IN OIL RESERVOIR WITH USING WELL LOG INFORMATION AND NEURAL NETWORK. JOURNAL OF THE EARTH, 3(1), 21-31. SID. https://sid.ir/paper/193073/en

    Vancouver: Copy

    SABZEHPARVAR MOHAMMAD, NABI BIDHENDI MAJID. ESTIMATION OF ELASTIC PARAMETERS IN OIL RESERVOIR WITH USING WELL LOG INFORMATION AND NEURAL NETWORK. JOURNAL OF THE EARTH[Internet]. 2008;3(1):21-31. Available from: https://sid.ir/paper/193073/en

    IEEE: Copy

    MOHAMMAD SABZEHPARVAR, and MAJID NABI BIDHENDI, “ESTIMATION OF ELASTIC PARAMETERS IN OIL RESERVOIR WITH USING WELL LOG INFORMATION AND NEURAL NETWORK,” JOURNAL OF THE EARTH, vol. 3, no. 1, pp. 21–31, 2008, [Online]. Available: https://sid.ir/paper/193073/en

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