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TEM-function

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In petroleum engineering, TEM (True Effective Mobility), also called TEM-function, is a criterion to characterize dynamic fluid-flow characteristics of rocks (or dynamic rock quality). [1][2][3][4][5][6][7][8] TEM is a function of Relative permeability, Porosity, absolute Permeability and fluid Viscosity, and can be determined for each fluid phase separately. TEM-function has been derived from Darcy's law for multiphase flow. [1]

in which k is the absolute Permeability, kr is the Relative permeability, φ is the Porosity, and μ is the fluid Viscosity. Rocks with better fluid dynamics (i.e., experiencing a lower pressure drop in conducting a fluid phase) have higher TEM versus saturation curves. Rocks with lower TEM versus saturation curves resemble low quality systems.[1]

TEM-function in analyzing Relative permeability data is analogous with Leverett J-function in analyzing Capillary pressure data.[1]

Also, TEM-function can be used for averaging relative permeability curves (for each fluid phase, separately (i.e., water, oil, gas, CO2)).[1]

References

  1. ^ a b c d e Mirzaei-Paiaman, A.; Saboorian-Jooybari, H.; Chen, Z.; Ostadhassan, M. (2019). "New technique of True Effective Mobility (TEM-Function) in dynamic rock typing: Reduction of uncertainties in relative permeability data for reservoir simulation". Article Published in Journal of Petroleum Science and Engineering - JPSE - by Elsevier B.V., August, 2019. doi:10.1016/j.ptlrs.2020.06.003. Retrieved 6 August 2020.
  2. ^ Mirzaei-Paiaman, A.; Asadolahpour, S.R.; Saboorian-Jooybari, H.; Chen, Z.; Ostadhassan, M. (2020). "A new framework for selection of representative samples for special core analysis". Article Published in Petroleum Research by Elsevier B.V., 2020. doi:10.1016/j.ptlrs.2020.06.003. Retrieved 6 August 2020.]
  3. ^ Mirzaei-Paiaman, A. (2019). "New Concept of Dynamic Rock Typing and Necessity of Modifying Current Reservoir Simulators" (PDF). Technical Feature Article Published in SPE Review London e-Magazine by Society of Petroleum Engineers' London Branch, June, 2019: 7–10. Retrieved 6 August 2020.
  4. ^ Wang, R. (2019). "Grid density overlapping hierarchical algorithm for clustering of carbonate reservoir rock types: A case from Mishrif Formation of West Qurna-1 oilfield, Iraq". Article Published in Journal of Petroleum Science and Engineering by Elsevier: -. Retrieved 6 August 2020.
  5. ^ Noorbakhsh, A. (2020). "Field Production Optimization Using Sequential Quadratic Programming (SQP) Algorithm in ESP-Implemented Wells, A Comparison Approach". Article Published in Journal of Petroleum Science and Technology by RIPI: -. Retrieved 6 August 2020.
  6. ^ Nazari, M.H. (2019). "Investigation of factors influencing geological heterogeneity in tight gas carbonates, Permian reservoir of the Persian Gulf". Article Published in Journal of Petroleum Science and Engineering by Elsevier: -. Retrieved 6 August 2020.
  7. ^ Liu, Y. (2019). "Petrophysical static rock typing for carbonate reservoirs based on mercury injection capillary pressure curves using principal component analysis". Article Published in Journal of Petroleum Science and Engineering by Elsevier: -. Retrieved 6 August 2020.
  8. ^ Shakiba, M. (2020). "An experimental investigation of the proportion of mortar components on physical and geomechanical characteristics of unconsolidated artificial reservoir sandstones". Article Published in Journal of Petroleum Science and Engineering by Elsevier: -. Retrieved 6 August 2020.