滑溜水支撑剂沙丘高度的幂律相关性

Msalli Alotaibi, J. Miskimins
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引用次数: 5

摘要

在非常规油藏水力压裂中,滑溜水中支撑剂运移不良是一个行业难题。这一挑战的部分原因是难以估计诱发裂缝内沉降支撑剂沙丘的高度。进行了一项实验研究,并用于建立基于实验室的相关性,可以预测滑溜水支撑剂沙丘高度作为某些关键参数的函数。设计了一个槽流装置,并进行了70多次实验,以获得相关发展所需的数据。设计的裂缝槽表面粗糙,高23.25英寸,宽0.2英寸。对白砂进行了广泛的现场代表性测试,包括泥浆速度、支撑剂尺寸和浓度。根据泥浆速度、支撑剂尺寸和浓度,建立了滑溜水支撑剂沙丘高度的幂律相关关系。泥浆速度是指支撑剂开始沉降到诱发裂缝内之前的初始泥浆速度。通过实验研究各参数对沙丘高度的影响,根据各参数之间的关系,将各参数组合成一个整体相关性。所建立的相关性涵盖了支撑剂尺寸范围为100至20/40目,浓度范围为0.25至2.80 ppg。所建立的相关性相对于获得的实验室数据显示出较高的预测精度,相对于实验室数据的平均误差值小于0.6%。Wang等人(2003)进一步评估了与实验室数据和之前发表的相关性相关的准确性。所建立的相关性是第一个基于粗糙表面槽壁的实验数据的相关性。粗糙度已被证明对支撑剂沉降有相当大的影响,这使得该相关性在现场应用中更具代表性。此外,与Wang等人(2003)的众所周知的相关性相比,这种相关性涵盖了更大范围的支撑剂尺寸、浓度和泥浆速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Law Correlation for Slickwater Proppant Dune Height
Poor proppant transport in slickwater is an industry challenge in the hydraulic fracturing of unconventional reservoirs. Part of this challenge is the difficulty in estimating the settled proppant dune height inside induced fractures. An experimental study was conducted and used to develop lab-based correlations that can predict slickwater proppant dune height as a function of certain key parameters. A slot flow apparatus was designed and used to conduct more than 70 experiments to obtain the data necessary for the correlation development. The designed fracture slot has a rough surface and is 23.25 inches high and 0.2 inch wide. White sand was tested over a wide range of field representative values for slurry velocity and proppant size and concentration. Power law correlations were developed for slickwater proppant dune height based on slurry velocity, proppant size, and concentration. The slurry velocity refers to the initially slurry velocity before proppant starts to settle inside the induced fracture. The overall correlation was developed by experimentally studying the effect of each parameter on the dune height and then combining them all in one correlation based on their respective relationships. The developed correlation covers proppant sizes ranging from 100 to 20/40 mesh and concentrations ranging from 0.25 to 2.80 ppg. The developed correlation showed high prediction accuracy relative to obtained lab data with an average error value of less than 0.6% relative to lab data. The developed correlation was further evaluated for its accuracy relative to lab data and the previously published correlation by Wang et al. (2003). The developed correlation is the first of its type to be based on experimental data while using rough surface slot walls. Roughness is proven to have a considerable effect on proppant settling which makes this correlation more representative for field applications. Also, compared to the well-known correlation by Wang et al. (2003), this correlation covers a wider range of proppant sizes, concentrations, and slurry velocities.
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