Evaluation of the Effect of the Water Formation Salinity in the Performance of 
Gels for Water Shutoff

Llamedo, M.A.; Fernandez, I.J.; Perez, D.L.; Rauseo, O.; Valero, E.; Espinoza, J.

doi:10.2523/93005-ms

Proceedings of SPE International Symposium on Oilfield Chemistry 2005

DOI: 10.2523/93005-ms

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Evaluation of the Effect of the Water Formation Salinity in the Performance of Gels for Water Shutoff

M.A. Llamedo¹,

I.J. Fernandez²,

D.L. Perez³

et al.

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“…Llamedo et al (2005) explained the effect of salinity of formation water on performance of a gel system for water shut-off. Residual resistance factor (RRF) was lower when the water used for preparation of gel and formation water had similar salinity.…”

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confidence: 99%

Laboratory Investigation on Gelation Behavior of Xanthan Crosslinked With Borate Intended to Combat Lost Circulation

Mokhtari¹,

Özbayoğlu²

2010

Proceedings of SPE Production and Operations Conference and Exhibition

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This thesis addresses the application of xanthan/borate gel for lost circulation treatment. Steady shear viscometry method was applied in which the gel system was under constant shear rate while apparent viscosity was being recorded. The apparent viscosity was constant up to initial gelation time in which viscosity started to build up. Four parameters: initial and final gelation times as well as initial and final viscosities are defined and a correlation is derived between those parameters and four variables: polymer blended with crosslinker, pH-controller, and magnesium chloride concentration as well as temperature. These correlations can help the drilling industry to manage the lost circulation treatment job in a way to have enough time and pressure to pump the fluid and to optimize the time and quality required for final gel. The effects of those variables besides mixing time and shear history on gelation were also investigated. Temperature and pH-controller shortens initiation of gelation. Poly-cross shifts viscosity upward. Retarder postpones the final gelation time. Shear history does not affect initial gelation time and increase of mixing time reduces initial gelation time.v This thesis also investigates the rheological model behavior of this gel system before initial gelation time which is the time allowed for pumping the fluid. Shear stress was measured at 0.1,1,50, and 450 rpm besides the conventional readings.Then residual mean squares for six common rheological models were obtained.Sisko was found to be the best fitting model based on this statistical approach.Moreover a modified Bingham-plastic and low shear yield point model are suggested.

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confidence: 99%

Laboratory Investigation on Gelation Behavior of Xanthan Crosslinked With Borate Intended to Combat Lost Circulation

Mokhtari¹,

Özbayoğlu²

2010

Proceedings of SPE Production and Operations Conference and Exhibition

View full text Add to dashboard Cite

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Design of a Neural Network Model for Predicting Well Performance after Water Shutoff Treatments Using Polymer Gels

Gonzalez

Gammiero

Llamedo

2012

SPE Latin America and Caribbean Petroleum Engineering Conference

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Current selection of candidate wells for water shutoff by polymer gel technology is based on empirical criteria which make uncertain its result. Although sophisticated models to resemble the injection of polymer gels in a porous media are available, they require extensive knowledge of the well and reservoir, plus specific yet to be characterized gel kinetics parameters. In this work a model is proposed to predict a well future production response based on well and reservoir information that is commonly available. Neural network models were designed, trained and validated for predicting wells production performance after a polymer gel treatment for water shutoff. A total sample of 31 historical applications of gel treatments were used for training and validating the proposed networks. Historical applications gathered include different well and reservoir types, which make the model prediction validity wide broad. Neural networks with two different tasks were developed during this study, one of them with a bi-valuated response (output), and qualified as classification networks and the others with a wider range of potential output, identified as regression networks. The model aims to predict a well future oil production and the percentage of water associated to that production after the execution of a gel treatment. Training of the neural network was carried out using 90% of the wells set gathered and 10% of the wells were used for validation. An average relative error of 20% was obtained when comparing the actual production performance of wells and the neural network prediction for oil rate and water content. The proposed neural networks allow the selection of future candidate wells for gel treatments, based on its potential success. Additionally, the proposed network allows improving future gel treatments by evaluating the effect of the volume of gel to be injected on the treatment's result.

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Evaluation of the Effect of the Water Formation Salinity in the Performance of Gels for Water Shutoff

Cited by 2 publications

References 0 publications

Laboratory Investigation on Gelation Behavior of Xanthan Crosslinked With Borate Intended to Combat Lost Circulation

Laboratory Investigation on Gelation Behavior of Xanthan Crosslinked With Borate Intended to Combat Lost Circulation

Design of a Neural Network Model for Predicting Well Performance after Water Shutoff Treatments Using Polymer Gels

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