Improved near-well approximation for prediction of the gas/oil production ratio from oil-rim reservoirs

被引:4
|
作者
Halvorsen, Svenn Anton [1 ]
Mjaavatten, Are [2 ]
Aasheim, Robert [3 ]
机构
[1] Teknova AS, Kristiansand, Norway
[2] Yara Int ASA, Porsgrunn, Norway
[3] Statoil ASA, Res Ctr Porsgrunn, Porsgrunn, Norway
关键词
Oil-rim reservoir; Horizontal well; Improved near-well model; Gas coning; Gas/oil production ratio; GOR; Gas breakthrough; GORM; One-dimensional model; Production optimization; Gravitational drainage; Dupuit-Forchheimer; Porous media equation;
D O I
10.1007/s10596-011-9250-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A model with short computational time has previously been developed to predict the rate-dependent gas/oil ratio (GOR) from a horizontal well. The oil flow towards the wellbore is based on a one-dimensional model by Konieczek. The model performs remarkably well for medium-time production optimization (weeks, months), while the predictions during the first days after a large change in the production can be poor. An improved one-dimensional model for the flow towards the wellbore is proposed, where the oil flow is treated as a superposition of three terms: 1) Radial flow towards the wellbore and towards a mirror well. 2) Flow to correct for modified boundary conditions due to the radial flows. 3) Flow due to height variations of the gas/oil contact (GOC). The new model takes care of the current short term and near-well deficiencies: Effect of 2D flow close to the wellbore, gas breakthrough due to viscous gas fingering, and horizontal/vertical anisotropy. Based on analysis and preliminary testing the new model should have equally good medium and long term capabilities and considerably improved short term and near-well behaviour, compared to the present implementation.
引用
收藏
页码:231 / 246
页数:16
相关论文
共 50 条
  • [41] Cavitation in oil-gas reservoirs of the crystalline basement from the well logging data on the White Tiger field in Vietnam
    V. I. Isaev
    Nguen Huu Bin’
    Russian Journal of Pacific Geology, 2013, 7 : 237 - 246
  • [42] Cavitation in oil-gas reservoirs of the crystalline basement from the well logging data on the White Tiger field in Vietnam
    Isaev, V. I.
    Nguen Huu Bin'
    RUSSIAN JOURNAL OF PACIFIC GEOLOGY, 2013, 7 (04) : 237 - 246
  • [43] Enhanced prediction and uncertainty analysis for hydrogen production rate in depleted oil and gas reservoirs using advanced machine learning techniques
    Du, Zhengyang
    Xu, Lulu
    Yin, Shangxian
    Dong, Shuning
    Dai, Zhenxue
    Ma, Yue
    Thanh, Hung Vo
    Soltanian, Mohamad Reza
    GEOENERGY SCIENCE AND ENGINEERING, 2025, 249
  • [44] Gas- and liquid-phase relative permeabilities for cold production from heavy-oil reservoirs
    Tang, GQ
    Firoozabadi, A
    SPE RESERVOIR EVALUATION & ENGINEERING, 2003, 6 (02) : 70 - 80
  • [45] Well Integrity as a Fundamental Precondition for a Safe Oil and Gas Production - A Practical Approach from the Drilling Engineering
    Klaus, D.
    Bierenriede, L.
    OIL GAS-EUROPEAN MAGAZINE, 2015, 41 (03): : 118 - +
  • [46] Solution Gas/Oil Ratio Prediction from Pressure/Volume/Temperature Data Using Machine Learning Algorithms
    Majid A.
    Mwakipunda G.C.
    Guo C.
    SPE Journal, 2023, : 1 - 16
  • [47] Solution Gas/Oil Ratio Prediction from Pressure/Volume/Temperature Data Using Machine Learning Algorithms
    Majid, Asia
    Mwakipunda, Grant Charles
    Guo, Chaohua
    SPE JOURNAL, 2024, 29 (02): : 999 - 1014
  • [48] Well Performance Classification and Prediction: Deep Learning and Machine Learning Long Term Regression Experiments on Oil, Gas, and Water Production
    Ibrahim, Nehad M.
    Alharbi, Ali A.
    Alzahrani, Turki A.
    Abdulkarim, Abdullah M.
    Alessa, Ibrahim A.
    Hameed, Abdullah M.
    Albabtain, Abdullaziz S.
    Alqahtani, Deemah A.
    Alsawwaf, Mohammad K.
    Almuqhim, Abdullah A.
    SENSORS, 2022, 22 (14)
  • [49] Numerical simulation of the improved gas production from low permeability hydrate reservoirs by using an enlarged highly permeable well wall
    Zhang, Jinming
    Li, Xiaosen
    Chen, Zhaoyang
    Li, Qingping
    Li, Gang
    Lv, Tao
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 183
  • [50] A statistical analysis of well production rates from UK oil and gas fields - Implications for carbon capture and storage
    Mathias, Simon A.
    Gluyas, Jon G.
    Mackay, Eric J.
    Goldthorpe, Ward H.
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2013, 19 : 510 - 518