Modeling and simulation of non-isothermal three-phase flow for accurate prediction in underbalanced drilling

FALAVAND-JOZAEI, A; Hajidavalloo, Ebrahim; Shekari, Younes; Ghobadpouri, Saeed

doi:10.1016/s1876-3804(22)60034-x

Cited by 2 publications

(1 citation statement)

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“…Prediction of pressure drop in annulus pipe is the basis for determining shale gas wellbore fluid accumulation and drainage process preferences. In addition, the conventional oil and gas extraction process, such as underbalanced drilling and spontaneous injection wells at high production rates, will involve the flow of two-phase flow in annulus pipe [3].…”

Section: Introductionmentioning

confidence: 99%

Study on the Flow Pattern and Transition Criterion of Gas-Liquid Two-Phase Flow in the Annular of Shale Gas Fractured Horizontal Wells

Wang

et al. 2022

Processes

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Improving the accuracy of pressure prediction in the wellbore annular is of great importance for the design in oil and gas production. However, due to the existence of double-layer liquid membrane and the lack of relevant experiments, the existing correlations fail to the field application. In this study, a new model of flow pattern transition in inclined annulus pipe is proposed by using a mechanistic approach to classify the flow patterns. Firstly, a gas-liquid two-phase flow experiment in annulus pipe was carried out in a pipe with an outer diameter of 73.02 mm and an inner diameter of 121.36 mm, and then the influence of inclined angle on the transition boundary of flow pattern is discussed. Finally, a hydrodynamic transition criterion for the flow pattern model of inclined annulus pipe is established and verified in detail. The experimental results show that bubble flow, slug flow, churn flow and annular flow were observed under different inclination angles, and the results indicate that the slug flow will be shifted to the larger gas-liquid superficial flow rate region with the smaller inclination angle, and the annular flow will appear in the higher gas superficial flow rate region. Compared to the performance of the existing correlations (Kelessidis and Zhang) and the present model using the experimental data, the accuracy of the new model reached 83%, significantly higher than the other two models, and the new correlation was better in predicting the transition from slug flow to churn flow and churn flow to annular flow.

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Section: Introductionmentioning

confidence: 99%