Chrome Extension
WeChat Mini Program
Use on ChatGLM

Effects of Polymers with Different Anionic Groups in Drilling Fluids and Their Properties of Temperature and Salt Resistance

Yuxin Wang, Yunting Du,Zhenxuan Yang, Jincheng Zou,Minmin Fan,Xi Zhang

Journal of Macromolecular Science Part A(2024)

Sichuan Univ

Cited 0|Views23
Abstract
To investigate the performance characteristics of polymers with different functional groups in drilling fluid matrix (clay suspension), two anionic acrylamide-based polymers with molecular weights of approximately 1 million and the same monomer ratio, namelypoly(acrylamidoacrylate) (P(AM-AA)) and poly(acrylamidoallyl sulfonate) (P(AM-SAS)), were synthesized using a water-dispersion polymerization method. Using polyacrylamide (PAM) with the same molecular weight as a reference, thermogravimetric analysis, scanning electron microscopy, zeta potential analysis, particle size distribution test, and drilling fluid performance test were conducted to assess the thermal stability of the polymers as well as the microstructures and properties of the corresponding drilling fluids. The results demonstrated that both P(AM-AA) and P(AM-SAS) exhibited significant intercalation effects on clay in drilling fluids, leading to an increase in the zeta potential of clay particles and the formation of a bimodal particle size distribution. These polymers also effectively reduced filtration loss and altered the rheological properties of the drilling fluids. However, the influence of polymers on temperature and salt resistance did not conform to the traditional understanding that sulfonic acid groups offer better hydration and salt resistance compared to carboxyl groups. The performance characteristics of the polymers were influenced not only by their own structure, but also by the clay content, salt content, temperature in the drilling fluids. Specifically, in freshwater drilling fluids, P(AM-AA) exhibited a slightly lower but comparable reduction in filter loss compared to P(AM-SAS). Furthermore, P(AM-AA) was less affected by clay content than P(AM-SAS) and showed stronger filter loss reduction in brine drilling fluids with NaCl content <= 3 wt%, while exhibiting less sensitivity to variations in NaCl content. Conversely, P(AM-SAS) demonstrated stronger filter loss reduction and lower sensitivity to NaCl content in brine drilling fluids with NaCl content >3 wt%. The influence of high-temperature aging (120-180 degrees C) on filter loss reduction function was similar for both P(AM-AA) and P(AM-SAS). The rheology of the formulated drilling fluid was less sensitive to clay content when utilizing P(AM-AA) compared to P(AM-SAS). Moreover, the apparent viscosity of the drilling fluid with P(AM-AA) was more impacted by NaCl when the NaCl content was below 5 wt%, showing greater sensitivity than P(AM-SAS). However, there was no significant difference in rheological stability between P(AM-AA) and P(AM-SAS) under high-temperature aging conditions.
More
Translated text
Key words
Anionic acrylamide-based polymers,filtration loss,rheological,property,drilling,fluid
求助PDF
上传PDF
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
Related Papers
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

要点】:研究不同阴离子基团聚合物在钻井液中的性能特性及其耐温和耐盐性,发现聚合物性能不仅受自身结构影响,还受钻井液中的泥土含量、盐含量和温度影响。

方法】:通过合成两种分子量约为100万的阴离子聚合物P(AM-AA)和P(AM-SAS),使用水分散聚合方法,并进行热重分析、扫描电镜、Zeta电位分析、粒度分布测试和钻井液性能测试。

实验】:使用相同的分子量参考聚合物PAM,对P(AM-AA)和P(AM-SAS)进行测试,结果表明两种聚合物均能显著改善钻井液中泥土的分散性,降低滤失量,改变流变性。在淡水钻井液中,P(AM-AA)的滤失量降低效果略低于P(AM-SAS),但在含盐量≤3 wt%的盐水钻井液中表现出更强的滤失量降低效果,对NaCl含量变化的敏感性较低。在含盐量>3 wt%的盐水钻井液中,P(AM-SAS)表现出更强的滤失量降低效果和较低的NaCl含量敏感性。高温老化(120-180°C)对两种聚合物的滤失量降低功能影响相似。使用P(AM-AA)的钻井液流变性对泥土含量的敏感性低于P(AM-SAS)。当NaCl含量低于5 wt%时,P(AM-AA)的钻井液表观粘度对NaCl的敏感性高于P(AM-SAS),但在高温老化条件下两种聚合物的流变稳定性差异不大。数据集名称未提及。