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98071 DEVELOPING A FIELDWIDE SCALE INHIBITOR SQUEEZE PROGRAM: SIMULATION AND OPTIMIZATION

Picture for 98071 DEVELOPING A FIELDWIDE SCALE INHIBITOR
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Product Number: 51300-98071-SG
ISBN: 98071 1998 CP
Author: G. D. Fielder
Industry: Oil and Gas Production
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Calcite scaling downhole and on production equipment is a common problem in a large central California steam drive oil field. In the past, formation squeezes with scale inhibitors have given inconsistent results in mitigating scale deposition. A mathematical model was used to simulate scale inhibitor residual data from a squeeze treatment. The effects of variables such as inhibitor volume and concentration, water production, displacement and zone length on treatment life were investigated in order to improve the design of squeeze applications. An optimization program was developed based on inhibitor and overflush volumes as a function of produced water. The optimized design was applied to a well and the residual decline curve was accurately predicted. Subsequent squeezes in additional wells using the optimized design were also successful. Keywords: Squeeze treatment, squeeze simulation, squeeze optimization, mathematical model, calcite, scale inhibition
Calcite scaling downhole and on production equipment is a common problem in a large central California steam drive oil field. In the past, formation squeezes with scale inhibitors have given inconsistent results in mitigating scale deposition. A mathematical model was used to simulate scale inhibitor residual data from a squeeze treatment. The effects of variables such as inhibitor volume and concentration, water production, displacement and zone length on treatment life were investigated in order to improve the design of squeeze applications. An optimization program was developed based on inhibitor and overflush volumes as a function of produced water. The optimized design was applied to a well and the residual decline curve was accurately predicted. Subsequent squeezes in additional wells using the optimized design were also successful. Keywords: Squeeze treatment, squeeze simulation, squeeze optimization, mathematical model, calcite, scale inhibition
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