Mitigation of Formation Damage Caused by Macrormolecular Materials Using "Liquid" Polymers

Lakatos, István; Lakatos-Szabó, J.; Szentes, G.; Vadászi, Marianna

doi:10.2118/165176-ms

Cited by 5 publications

References 8 publications

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Prediction of barium sulfate precipitation in dynamic tube blocking tests and its inhibition for waterflooding application using response surface methodology

Khormali¹,

Ahmadi²

2023

J Petrol Explor Prod Technol

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Scale precipitation is one of the major problems in the petroleum industry during waterflooding. The possibility of salt formation and precipitation should be monitored and analyzed under dynamic conditions to improve production performance. Scale precipitation and its dependence on production parameters should be investigated before using scale inhibitors. In this study, the precipitation of barium sulfate salt was investigated through dynamic tube blocking tests at different injection rates and times. For this purpose, the pressure drop caused by salt deposition was evaluated at injection rates of 1, 2, 3, 4, and 5 mL/min. The software determined the worst conditions (temperature, pressure, and water mixing ratio) for barium sulfate precipitation. Moreover, during the experiments, the pressure drop caused by barium sulfate precipitation was measured without using scale inhibitors. The pressure drop data were evaluated by the response surface method and analysis of variance to develop a new model for predicting the pressure drop depending on the injection rate and time. The novelty of this study lies in the development of a new high-precision correlation to predict barium sulfate precipitation under dynamic conditions using the response surface methodology that evaluates the effect of injection rate and time on the possibility of salt precipitation. The accuracy and adequacy of the obtained model were confirmed by using R2 statistics (including R2-coefficient of determination, adjusted R2, and predicted R2), adequate precision, and diagnostic charts. The results showed that the proposed model could fully and accurately predict the pressure drop. Increasing the time and decreasing the injection rate caused an increase in pressure drop and precipitation of barium sulfate salt, which was related to the formation of more salt due to the contact of ions. In addition, in a short period of the injection process, the pressure drop due to salt deposition increased sharply, which confirms the need to use a suitable scale inhibitor to control salt deposition. Finally, the dynamic tube blocking tests were repeated in the presence of two well-known scale inhibitors, which prevented salt deposition in the tubes. At the same time, no pressure drop was observed in the presence of scale inhibitors at all injection rates during a long period of injection. The obtained results can be used for the evaluation of salt precipitation during oil production in the reservoirs, in which barium sulfate is precipitated during waterflooding. For this purpose, knowing the flow rate and injection time, it is possible to determine the amount of pressure drop caused by salt deposition.

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Prediction of barium sulfate precipitation in dynamic tube blocking tests and its inhibition for waterflooding application using response surface methodology

Khormali¹,

Ahmadi²

2023

J Petrol Explor Prod Technol

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Predicting scale deposition in oil reservoirs using machine learning optimization algorithms

Khodabakhshi,

Bijani

2024

Results in Engineering

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Application of Nanoparticle Aided Silicate Reservoir Conformance Control Method at the Algyo Field, Hungary: Fundamentals and Case Histories

Lakatos

Szentes

Vágó

et al. 2017

Day 1 Mon, November 13, 2017

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Reservoir conformance control (RCC) might be fundamental designing profitable production technology in oilfields. Appropriate application of RCC methods can significantly result in improved IOR/EOR through reduced water production and profile correction. In the past decades, numerous techniques were extensively applied with these goals; however, the operators did not appreciate the silicates until mid-1970s despite the fact that emblematic professionals proposed the silicate gels as efficient alternatives to organic gel technologies. Recently, the attitude towards the extensive use of silicates in oilfields has changed. The silicate-based water shutoff treatments and profile control methods have been already used more than hundred times in Hungary, Serbia, Norway, USA, Oman, and other countries. In the past several years, the fundamental and applied research focused on elimination of inherent negative properties of pure silicate gels, and development of efficient and flexible technologies using polymers and nanosilica in the treating solutions. As a result, the diverse silicate RCC methods arouse high interest in oilfield applications. Today, the environmentally friendly composition of the chemical systems, viz. the green technologies are particularly appreciated by the operators. The presentation summarizes the results of both the fundamentals and a pilot tests accomplished in the Algyő field, and critically analyzes the lessons to learn. Base on the publications disseminated until now it can be concluded that these field jobs demonstrate outstanding responds both in water cut and increased oil rate. It was also proved that the nanoparticle-induced (nucleated) formation of silicate gels could potentially be used in all types of porous and fractured reservoirs. In addition, the in-situ formed gels have outstanding thermal stability up to 150°C, the chemicals are mass-produced and available at low price, the job needs simple surface facilities, and customary human force to operate the RCC method. Consequently, the green silicate methods being low OPEX and CAPEX expenditure, the technology may open new vistas curing numerous problems arising at both oil and gas fields even in time of volatile oil and gas price.

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Mitigation of Formation Damage Caused by Macrormolecular Materials Using "Liquid" Polymers

Cited by 5 publications

References 8 publications

Prediction of barium sulfate precipitation in dynamic tube blocking tests and its inhibition for waterflooding application using response surface methodology

Prediction of barium sulfate precipitation in dynamic tube blocking tests and its inhibition for waterflooding application using response surface methodology

Predicting scale deposition in oil reservoirs using machine learning optimization algorithms

Application of Nanoparticle Aided Silicate Reservoir Conformance Control Method at the Algyo Field, Hungary: Fundamentals and Case Histories

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