Xianwu Jing, Youquan Liu, Lang Zhou, Pengfei Zhang, Jian Lan, Jie Qi, Shanshan Dai, Hongsheng Lu
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Thickening Performance Evaluation and Molecular Dynamics Simulation on Hydrophobic Associated Polymer in Acid Circumstances
Acid thickener is of necessity for improving the exploitation capacity for oil and gas resources of carbonate reservoirs. Here a hydrophobic associated polymer (HPA) by introducing a nonionic hydrophobic monomer (AO) was designed as the acid thickener. The experimental results demonstrated that HPA suggests excellent acid resistance, shear resistance, and thermal stability attributing to the gradual exposure of hydrophobic chain to H2O circumstances that enhances the strength of hydrophobic association. The square radius of gyration of HPA raises with the introduction of AO confirming the unfold of HPA by intermolecular hydrophobic association, which strengthens the network structure. The decrease of mean square displacement and diffusion coefficient of H2O and H3O+ molecules suggest the enhancement for network structure by hydrophobic chain owing to HPA hindered the diffusion of H2O and H3O+ molecules. These findings are expected to supply a guidance for the design and research on the acid thickener.
期刊介绍:
Oriental Journal of Chemistry was started in 1985 with the aim to promote chemistry research. The journal consists of articles which are rigorously peer-reviewed. The journal was indexed in Emerging Science citation index in 2016. The Editorial board member consists of eminent international scientist in all fields of Chemistry. Details of each member and their contact information is mentioned in website. The journal has thorough ethics policies and uses plagiarism detection software(ithenticate) to screen each submission. The journal has recently partnered with publons as a part of making our reviews more transparent. The journal has recently incorporated PlumX for article level matrix. The journal is promoting research on all social and academic platforms mentioned in PlumX guidelines. The journal uses google maps to improve on the geographical distribution of Editorial board members as well as authors.