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Scaling is a significant challenge in oilfield production gathering and transportation stations, and it not only constrains the economic efficiency but also affects the development of oil and natural gas. This study proposes a scaling prediction model based on chemical experimental analysis and reservoir dynamic analysis methods for the gathering and transportation stations in the Changqing Oilfield. The objective of this study is to provide technical support for the oilfield to advance precise management and achieve cost reduction and efficiency enhancement. Initially, the water quality and scale samples of the oilfield were tested and analyzed using Inductively Coupled Plasma (ICP), Ion Chromatography (IC), and Scanning Electron Microscopy-Energy Dispersive Spectroscopy (SEM-EDS), and the distribution and patterns of scaling in the gathering and transportation pipelines were studied. Based on this, using the test data and the production liquid ratio of each development layer at the gathering and transportation stations, a reservoir dynamic correlation method was employed to construct a prediction model for the development layer with the highest similarity to the tested water samples at the stations and the types of scale samples. The results indicate that this prediction method can effectively reduce the scaling rate and provide guidance for the anti-scaling process in the Changqing Oilfield.
Scaling is a significant challenge in oilfield production gathering and transportation stations, and it not only constrains the economic efficiency but also affects the development of oil and natural gas. This study proposes a scaling prediction model based on chemical experimental analysis and reservoir dynamic analysis methods for the gathering and transportation stations in the Changqing Oilfield. The objective of this study is to provide technical support for the oilfield to advance precise management and achieve cost reduction and efficiency enhancement. Initially, the water quality and scale samples of the oilfield were tested and analyzed using Inductively Coupled Plasma (ICP), Ion Chromatography (IC), and Scanning Electron Microscopy-Energy Dispersive Spectroscopy (SEM-EDS), and the distribution and patterns of scaling in the gathering and transportation pipelines were studied. Based on this, using the test data and the production liquid ratio of each development layer at the gathering and transportation stations, a reservoir dynamic correlation method was employed to construct a prediction model for the development layer with the highest similarity to the tested water samples at the stations and the types of scale samples. The results indicate that this prediction method can effectively reduce the scaling rate and provide guidance for the anti-scaling process in the Changqing Oilfield.
Fouling of refinery reboilers is a major source of production loss, health, safety, and environment (HSE) issues, and increased carbon emissions. Reboilers can be especially difficult, as fouling is difficult to address without major cleaning operations, and anti-fouling solutions outside of design modifications are limited. Formulation development of a novel coating material for reboiler systems examined a wide variety of polymer and nanocomposite chemistries. An iterative development process was used to identify and synthesize a polymer nanocomposite surface treatment to protect against corrosion induced by the buildup of chloride and sulfide salts typically found within distillation reboilers. Application on carbon steel test panels was completed using industry standard spray application methods and subsequently characterized for adhesion strength, thermal stability, chemical compatibility, and corrosion mitigation. Data included in this study will demonstrate that the material has a durability comparable to existing state-of-the-art coating materials (following ASTM D3359), chemical resistance to high acid and base solutions, and corrosion resistance (following ASTM B117) to support the long-term use of this novel surface treatment to protect metallic surfaces in harsh process conditions. Use of this novel material, compatible up to 350°C, has suggested the overall lifetime of the candidate reboiler system could be increased 2-fold based on previous applications of similar materials in field deployment. This non-fluorinated, highly chemically resistant surface treatment can offer significant cost avoidance through the improvement of operational uptime and reduced maintenance costs in heat transfer applications typically susceptible to corrosion and fouling.
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