Laboratory and Field Prediction of Sulfate Scaling Damage

Bedrikovetsky, Pavel; Mackay, Eric James; Moraes, Gladstone; Rosario, Francisca; Monteiro, Raphael

doi:10.2523/100611-ms

Cited by 4 publications

(10 citation statements)

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“…The analytical axi symmetric model and corresponding inverse problems are similar to those for corefloods 13,14 .…”

Section: Characterisation Of Sulphate Scaling Damage From Well / Fielmentioning

confidence: 89%

“…The reaction rate coefficient is proportional to flow velocity for small velocities, and the proportionality coefficient is called the kinetics coefficient 12,13,14 . The kinetics coefficient is determined by properties of rocks and fluids, by shape of deposit and by thermodynamics conditions.…”

Section: And In Camposmentioning

confidence: 99%

“…Breakthrough barium concentration and The analytical model for linear quasi-steady state reactive flow allows calculation of kinetics coefficient from breakthrough barium concentration; the formation damage coefficient is determined from pressure drop rise versus time during the commingled flow of formation water and seawater 13 . The laboratory data by the works 19,20,17,18 were treated by inverse problem solvers, and the database for sulphate scale coefficients as calculated from twenty-three laboratory tests is presented in the work 14 .…”

Section: And In Camposmentioning

confidence: 99%

“…Three interval fittings (Figure 7c) result in three values for formation damage coefficient: β= 166, 39 and 18. Table 1 shows that the variation interval of formation damage coefficient as obtained from laboratory tests is [30,3000] 14 .…”

Section: Determination Of Kinetics and Formation Damage Coefficients mentioning

confidence: 99%

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Field-Data-Based Prediction of Well Productivity Decline Due to Sulphate Scaling

et al. 2007

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fax 01-972-952-9435. AbstractThe system where sulphate scaling damage occurs is determined by two governing parameters: the kinetics coefficient characterising the velocity of chemical reaction and the formation damage coefficient reflecting permeability decrease due to salt precipitation. We derived an analytical model-based method for determination of kinetics and formation damage coefficients from production well data consisting of barium concentrations in the produced water and of well productivity decline. We analyse production data for five scaled-up producers from giant offshore field A, submitted to seawater flooding (Campos Basin, Brazil) in order to predict productivity index and to plan the well stimulation program. The wells are completed by gravel packs. Complete mixing of sea-and formation waters in production well neighbourhoods in the reservoir under consideration was assumed in previous works. Using this assumption, quasi steady state model for reactive flow around production well is formulated. We obtained values of the two sulphate scaling damage parameters. The two coefficient values were used for prediction of productivity decline for these wells.Both coefficient values as determined for five wells are inside the variation intervals for scale damage coefficients obtained from coreflood data. It allows concluding that the productivity damage in wells under investigation was caused by sulphate scaling and validates the mathematical model. It also permits to perform a reliable prediction of well productivity. The values for kinetics and formation damage coefficients as obtained from well and laboratory data are recommended for use in reservoir modelling of sulphate scaling.Sulphate scaling can have a disastrous impact on oil production in waterflood projects with incompatible injected and formation waters. This is due to precipitation of barium / strontium sulphate from the mixture of both waters and the consequent permeability reduction resulting in loss of well productivity.

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“…The analytical axi symmetric model and corresponding inverse problems are similar to those for corefloods 13,14 .…”

Section: Characterisation Of Sulphate Scaling Damage From Well / Fielmentioning

confidence: 89%

Section: And In Camposmentioning

confidence: 99%

Section: And In Camposmentioning

confidence: 99%

Section: Determination Of Kinetics and Formation Damage Coefficients mentioning

confidence: 99%

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Field-Data-Based Prediction of Well Productivity Decline Due to Sulphate Scaling

et al. 2007

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“…Then the formation damage coefficient can be determined from pressure drop increase during flooding 20,21 . Then the formation damage coefficient can be determined from pressure drop increase during flooding 20,21 .…”

Section: Introductionmentioning

confidence: 99%

Characterization of Sulfate-Scaling Formation Damage From Pressure Measurements

Bedrikovetsky¹,

Marotti²,

Neto

et al. 2007

Proceedings of Latin American &Amp; Caribbean Petroleum Engineering Conference

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractMixing of sea-and production waters during waterflooding of offshore oil reservoirs results in reaction of barium and sulphate ions causing precipitation of barium sulphate with consequent rock permeability decrease and well productivity decline. The reliable productivity decline prediction is based on mathematical modelling with well-known model coefficients. The sulphate scaling system contains two governing parameters: the kinetics coefficient characterising the velocity of chemical reaction and the formation damage coefficient showing how the permeability decreases due to salt precipitation.Previous works have derived analytical-model-based method for determination of both coefficients from breakthrough concentration and pressure drop during laboratory coreflood on quasi steady state commingled flow of injected and formation waters. The current study extends the method and derives formulae for calculation of two scale damage coefficients from just pressure drop measurements during two corefloods with two different ratios "formation water : seawater".Data from series of three corefloods on commingled injection with three different "formation water : seawater" ratios, were treated. Equality of scaling damage parameters as obtained from three different floods in similar artificial cores validates the method proposed.

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