Асосий контентга ўтиш
AkademIndex

Маҳсулотлар

Ишлаб чиқувчилар учун

AkademBaseЭкотизим учун очиқ API
← Ишга қайтиш

Ушбу иш иқтибос қилган ишлар

36 та иш

Иш: Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods

  1. Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme

    Emad A. El-Sebakhy

    Мақола20085 иқтибос
    ABI
  2. A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

    Yoav Freund, Robert E. Schapire

    Мақола19973 иқтибос
    ABI
  3. Permeability Estimation in Petroleum Reservoir by Meta-heuristics: An Overview

    Ali Mohebbi, Hossein Kaydani

    Боб20152 иқтибос
    ABI
  4. Advances in kernel methods: support vector learning

    Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola

    Мақола19992 иқтибос
    ABI
  5. Assessment of asphaltene deposition due to titration technique

    Ali Chamkalani, Mahmood Amani, Mohammad Amin Kiani +1

    Мақола20122 иқтибос
    ABI
  6. Improving the Simulation of Waterflood Performance With the Use of Neural Networks

    K. Aminian, H. I. Bilgesu, S. Ameri +1

    Мақола20002 иқтибос
    ABI
  7. Analysis of Archie's Parameters Determination Techniques

    G. M. Hamada

    Мақола20092 иқтибос
    ABI
  8. Effect of Variable Saturation Exponent on the Evaluation of Hydrocarbon Saturation

    Paul F. Worthington, Nadla Pallatt

    Мақола19922 иқтибос
    ABI
  9. De-risking Pretreatment of Microalgae To Produce Fuels and Chemical Co-products

    Jacob S. Kruger, Skylar Schutter, Eric P. Knoshaug +9

    Мақола20242 иқтибос
    ABI
  10. Analysis of Pore Types in Lower Cretaceous Qingshankou Shale Influenced by Electric Heating

    Zhentao Dong, Shansi Tian, Haitao Xue +5

    Мақола20242 иқтибос
    ABI
  11. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI