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A Comprehensive Model for Injectivity Decline Prediction During PWRI

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Abstract Injectivity decline is a chronicle disaster during produced water re-injection (PWRI); the phenomenon has been widely reported in the literature for North Sea, Gulf of Mexico and Campos Basin fields. The damage happens due to solid and liquid particles in the re-injected water. The injectivity decline prediction is important for planning and design of PWRI, of injected water treatment and of well stimulation procedures. The reliable prediction should be based on mathematical modelling using well injectivity index history and laboratory data. The mathematical models for deep bed filtration of particles and for external filter cake formation have been developed and adjusted to coreflood and well data by numerous authors (Sharma, Khatib, Wennberg et. al.). Here we add modelling of external cake erosion during well closing by the growing cake and filling the well by the erosion particles and develop a comprehensive model. The comprehensive model predicts very peculiar injectivity index (II) curve: initial II increase due to displacement of oil by less viscous water, slow II decline due to deep bed filtration, fast II decrease during external filter cake formation, II stabilization due to cake erosion during the rat hole filling by the eroded particles and further II decrease during well column filling by erosion products. The model is implemented in Excel; the software SPINSimulates and Predicts the INjectivity. We present in details the history matching for three injectors (field X, Campos Basin, Brazil), showing good agreement between modelling and well data. The obtained values of injectivity damage parameters lay in the same rage intervals as those calculated from laboratory corefloods.
Title: A Comprehensive Model for Injectivity Decline Prediction During PWRI
Description:
Abstract Injectivity decline is a chronicle disaster during produced water re-injection (PWRI); the phenomenon has been widely reported in the literature for North Sea, Gulf of Mexico and Campos Basin fields.
The damage happens due to solid and liquid particles in the re-injected water.
The injectivity decline prediction is important for planning and design of PWRI, of injected water treatment and of well stimulation procedures.
The reliable prediction should be based on mathematical modelling using well injectivity index history and laboratory data.
The mathematical models for deep bed filtration of particles and for external filter cake formation have been developed and adjusted to coreflood and well data by numerous authors (Sharma, Khatib, Wennberg et.
al.
).
Here we add modelling of external cake erosion during well closing by the growing cake and filling the well by the erosion particles and develop a comprehensive model.
The comprehensive model predicts very peculiar injectivity index (II) curve: initial II increase due to displacement of oil by less viscous water, slow II decline due to deep bed filtration, fast II decrease during external filter cake formation, II stabilization due to cake erosion during the rat hole filling by the eroded particles and further II decrease during well column filling by erosion products.
The model is implemented in Excel; the software SPINSimulates and Predicts the INjectivity.
We present in details the history matching for three injectors (field X, Campos Basin, Brazil), showing good agreement between modelling and well data.
The obtained values of injectivity damage parameters lay in the same rage intervals as those calculated from laboratory corefloods.

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