WeChat Mini Program
Old Version Features

    • Numerical Simulation of Proppant Transportation in the Nonplanar Fracture

    Siyuan Chen,Shiming Wei,Yan Jin, Yazhou Zhang, Songqing Zhu

    International Geomechanics Conference（2024）

    State key Laboratory of Petroleum Resources and Engineering

    Cited 0|Views1
    Abstract
    ABSTRACT: The fractures produced by hydraulic fracturing twist and extend in three-dimensional space, often forming complex nonplanar shapes, which makes the transportation law of proppant more complicated. To study the transportation law of proppant in the nonplanar fractures, the morphology of fracture propagation was obtained by phase field method, and a fluid-solid coupling model of proppant transportation in the three-dimensional nonplanar fractures was established. The solution was based on computational fluid dynamics (CFD) and discrete element method (DEM), and the effects of injection rate, sand ratio, proppant density and proppant size on the transportation law were studied. The results show that the nonplanar fractures make the transportation law of proppant more complicated. Increasing the injection rate can avoid sand plugging in the near-well area and increase the sand distribution distance. Low sand ratio can effectively improve the proppant transportation effect. With the decrease of proppant density and size, the sand distribution height decreases. This study clarifies the transportation law of proppant in the nonplanar fractures, which helps to guide the design of proppant pumping parameters during fracturing construction. 1. INTRODUCTION As oil and gas production gradually moves towards unconventional resources, hydraulic fracturing technology has become an important measure for enhanced oil recovery (Liew et al., 2020). During the hydraulic fracturing process, if the fracture initiation is not in the direction of maximum horizontal principal stress, the fracture may turn from the perforation direction to the direction of maximum horizontal principal stress after expansion, forming a complex nonplanar fracture (Tan et al., 2017). In order to improve the effect of reservoir transformation, proppant needs to be injected into the formation to fill the propped fracture and form a diversion channel for oil and gas production (Liang et al., 2016). If the proppant cannot be effectively laid in the nonplanar fracture, it will have an important impact on the effect of hydraulic fracturing.
    More
    Translated text
    求助PDF
    上传PDF
    View via Publisher
    Bibtex
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Upload PDF to Generate Summary
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    Summary is being generated by the instructions you defined