Paper
11 March 2022 Research on a semi-analytical production prediction model for double-step horizontal wells
Lijun Zhang, Long Peng, Guoqing Han, Xianhong Tan, Jin Shu, Zijing Zhang, Wenhui Zhang, Xinliang Liu, Tian He
Author Affiliations +
Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121600V (2022) https://doi.org/10.1117/12.2627613
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China
Abstract
It is difficult to predict the oil and gas productivity when multiple production sections are used to produce multiple reservoirs at the same time. To solve this problem, a semi-analytical productivity prediction model of double-step horizontal wells is established. Reservoir anisotropy, properties, seepage interference, wellbore pressure drop are considered in this model. The discretization method is applied to divide the double-step horizontal well into several sections for the coupling of reservoir model and wellbore model based on some relevant theories of seepage mechanics, fluid mechanics and numerical analysis. Two double-step horizontal wells in the Minghuazhen Formation and Dongying Formation in Caofeidian Oilfield are used for instance verification to analyze the production of each micro-element in the wellbore and the distribution of cumulative production along the wellbore. The results show that the distribution of the micro-element sections of the upper and lower horizontal sections of the double-step horizontal well presents a typical "U"-shaped distribution. The heel and toe sections of the horizontal section have a larger production, while the middle section has a smaller production. Comparing the productivity predicted by the model of the double-step horizontal well built in this paper with the actual well productivity, it can be seen that the relative error of the well D is 4.47% and the relative error of the well F is 5.8%. The prediction error is controlled within 10%, the model established in this paper has good prediction accuracy. This paper proposes a wellbore-reservoir coupled double-step horizontal well productivity model. This model can effectively predict the prediction distribution, pressure distribution and cumulative production distribution along each micro-element section of the wellbore and the model has good applicability in the actual oil field.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lijun Zhang, Long Peng, Guoqing Han, Xianhong Tan, Jin Shu, Zijing Zhang, Wenhui Zhang, Xinliang Liu, and Tian He "Research on a semi-analytical production prediction model for double-step horizontal wells", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121600V (11 March 2022); https://doi.org/10.1117/12.2627613
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KEYWORDS
Error analysis

Microfluidics

Mechanics

Resistance

Lutetium

Multilayers

Numerical analysis

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