Effectiveness of Colloidal Gas Aphron Fluids Formulated with a Biosurfactant Enhanced by Silica Nanoparticles

2020 ◽  
Author(s):  
Amir Tabzar ◽  
Ali Sadatshojaie ◽  
David A. Wood
Keyword(s):  
Stability Analysis ◽  
Shear Flow ◽  
Silica Nanoparticles ◽  
Mean Squared Error ◽  
Small Error ◽  
Good Effect ◽  
Drilling Fluids ◽  
Fluid Viscosity ◽  
Rheological Characterization ◽  
Colloidal Gas Aphron

<p>At-balance drilling technology applications demand the use of special drilling fluids, For example, colloidal-gas-aphron fluids (CGA) are being deployed to good effect in drilling applications. GCA-based drilling fluids have physico-chemical attributes that enable them to usefully influence and control downhole conditions. Furthermore, the involvement of nanoparticles and surfactants in their formulations enhances the performance and stability of CGA suspensions. This study describes the stability analysis, rheological characterization and filtration properties of CGA suspensions for the novel eco-friendly biosurfactant, <i>Olea europaea </i>(common olive), in presence of nanoparticles. Filtration and stability analysis was performed using API filtration tests and the static drain-rate technique, respectively. Several rheological models are developed to quantify the shear-flow characteristics of Olea-nano-based CGA suspensions. The Herschel-Bulkley and the Mizhari-Berk models provided the best shear-flow prediction accuracy with very small error values in terms of root mean squared error. Results reveal that the introduction of the biosurfactant improves the CGA-based fluid properties. Moreover, the observed improvements are further enhanced by including silica and fumed silica nanoparticles in the formulations. The Olea-nano-CGA-based fluids exhibit non-Newtonian behavior. The rheology of CGA-based fluids depends upon base-fluid viscosity, as it does in aqueous polymeric foams. The optimum concentrations of nanoparticles in Olea-nano-based CGA fluids is identified to provide them with fluid-flow indices ranging between 0.15 and 0.30. </p>

scholarly journals Effectiveness of Colloidal Gas Aphron Fluids Formulated with a Biosurfactant Enhanced by Silica Nanoparticles

2020 ◽  
Author(s):  
Amir Tabzar ◽  
Ali Sadatshojaie ◽  
David A. Wood
Keyword(s):  
Stability Analysis ◽  
Shear Flow ◽  
Silica Nanoparticles ◽  
Mean Squared Error ◽  
Small Error ◽  
Good Effect ◽  
Drilling Fluids ◽  
Fluid Viscosity ◽  
Rheological Characterization ◽  
Colloidal Gas Aphron

<p>At-balance drilling technology applications demand the use of special drilling fluids, For example, colloidal-gas-aphron fluids (CGA) are being deployed to good effect in drilling applications. GCA-based drilling fluids have physico-chemical attributes that enable them to usefully influence and control downhole conditions. Furthermore, the involvement of nanoparticles and surfactants in their formulations enhances the performance and stability of CGA suspensions. This study describes the stability analysis, rheological characterization and filtration properties of CGA suspensions for the novel eco-friendly biosurfactant, <i>Olea europaea </i>(common olive), in presence of nanoparticles. Filtration and stability analysis was performed using API filtration tests and the static drain-rate technique, respectively. Several rheological models are developed to quantify the shear-flow characteristics of Olea-nano-based CGA suspensions. The Herschel-Bulkley and the Mizhari-Berk models provided the best shear-flow prediction accuracy with very small error values in terms of root mean squared error. Results reveal that the introduction of the biosurfactant improves the CGA-based fluid properties. Moreover, the observed improvements are further enhanced by including silica and fumed silica nanoparticles in the formulations. The Olea-nano-CGA-based fluids exhibit non-Newtonian behavior. The rheology of CGA-based fluids depends upon base-fluid viscosity, as it does in aqueous polymeric foams. The optimum concentrations of nanoparticles in Olea-nano-based CGA fluids is identified to provide them with fluid-flow indices ranging between 0.15 and 0.30. </p>

A quality-driven stability analysis framework based on state fluctuation space model for manufacturing process

2018 ◽  
Vol 233 (3) ◽  
pp. 436-447
Author(s):  
Liping Zhao ◽  
Sheng Hu ◽  
Yiyong Yao
Keyword(s):  
Stability Analysis ◽  
Manufacturing Process ◽  
Single Mode ◽  
Good Effect ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Analysis Framework ◽  
Process Stability ◽  
Space Model ◽  
Operating Modes

Industrial manufacturing processes often show multiple operating modes, where different modes present different regularities, so real-time monitor and analyzing the quality state stability is an important way to ensure product quality. This paper proposes a state-driven fluctuation space model for quality stability analysis for multimode manufacturing process. First, the whole process is divided into many sub-processes and the multimode formation mechanism is analyzed to form the stability analysis framework. Then each single-mode quality state fluctuation space model is built based on multi-kernel support vector data description method to determine the max effective fluctuation border of the process state. For the current process state, the deep neural network (DNN) is adopted to extract process state features automatically and recognize the mode type. Thus appropriate quality stable fluctuation space model is selected to monitor and analyze the process stability state. Finally, a case study is performed to evaluate the feasibility of proposed stability analysis method, and the result reveals that the method shows good effect for analyzing the process stability in manufacturing process.

scholarly journals Experimental Investigation of Water Based Colloidal Gas Aphron Fluid Stability

2019 ◽  
Vol 3 (1) ◽  
pp. 31 ◽  
Author(s):  
Seyed Hosseini-Kaldozakh ◽  
Ehsan Khamehchi ◽  
Bahram Dabir ◽  
Ali Alizadeh ◽  
Zohreh Mansoori
Keyword(s):  
Xanthan Gum ◽  
Drilling Fluid ◽  
Sodium Dodecyl ◽  
Ammonium Bromide ◽  
Drilling Fluids ◽  
Size Distributions ◽  
Electrolyte System ◽  
Colloidal Gas Aphron ◽  
The Stability ◽  
Filtration Properties

Today, the drilling operators use the Colloidal Gas Aphron (CGA) fluids as a part of drilling fluids in their operations to reduce formation damages in low-pressure, mature or depleted reservoirs. In this paper, a Taguchi design of experiment (DOE) has been designed to analyse the effect of salinity, polymer and surfactant types and concentration on the stability of CGA fluids. Poly Anionic Cellulose (PacR) and Xanthan Gum (XG) polymers are employed as viscosifier; Hexadecyl Trimethyl Ammonium Bromide (HTAB) and Sodium Dodecyl Benzene Sulphonate (SDBS) have been also utilized as aphronizer. Moreover, bubble size distributions, rheological and filtration properties of aphronized fluids are investigated. According to the results, the polymer type has the highest effect, whereas the surfactant type has the lowest effect on the stability of CGA drilling fluid. It was also observed that increasing salinity in CGA fluid reduces the stability. Finally, it should be noted that the micro-bubbles generated with HTAB surfactant in an electrolyte system, are more stable than SDBS surfactant.

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