Estimation of porosity of rocks based upon axiomatic local linear model tree (a lolimot model) approach

  • Authors

    • Hossein Hossein Iranmanesh School of Industrial Engineering, College of Engineering, University of Tehran(U.T), Tehran, Iran
    • Ali Mollajan School of Industrial Engineering, College of Engineering, University of Tehran(U.T), Tehran, Iran
    2020-09-02
    https://doi.org/10.14419/ijet.v9i3.30836
  • Axiomatic Design Theory, Fuzzy Linear Regression, Local Linear Model Tree (Lolimot Model) Rocks Prosoity.

  • Abstract

    Shear and Compressional Wave Velocities along with other Petrophysical Logs, are considered as upmost important data for Hydrocarbon reservoirs characterization. In this study, porosity of the extracted rocks form concerned wells is interest as it can indicate the oil capacity of the wells of interest. In this study, we employ the principles of Axiomatic Design theory, specially the first (independence) axiom, to more simplify the measurement system. Also, to clarify the strength of Axiomatic Design theory in reducing the complexity of the system and optimizing the measurement system, we utilize the The Lolimot model (LOcal LInear MOdel Tree) as a model from the neural network family and apply it before and after implementing the basic logic of Axiomatic Design (AD) theory. In addition, in order to illustrate strength of the proposed method emphasizing the effectiveness of a method which benefit from both AD theory and Lolimot model together, the existing system used to measure the rock porosity is addressed and actual data related to one of wells located in southern Iran is utilized. The results of the study show that integrating the Axiomatic Design principles with the LOLIMOT method leads to the least complex and most accurate results.

     

     

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  • How to Cite

    Hossein Iranmanesh, H., & Mollajan, A. (2020). Estimation of porosity of rocks based upon axiomatic local linear model tree (a lolimot model) approach. International Journal of Engineering & Technology, 9(3), 785-803. https://doi.org/10.14419/ijet.v9i3.30836

    Received date: 2020-06-04

    Accepted date: 2020-07-17

    Published date: 2020-09-02