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Technique Overcomes Scarcity of Solubility Data in Scale Prediction for HP/HT Conditions

The complete paper describes the generation of additional fundamental solubility data under HP/HT conditions and comparison of the obtained values with several existing models.

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Accurate scale-prediction modeling is only possible when reliable mineral solubility data are available under the required conditions. It is recognized that the relative paucity of high-pressure/high-temperature (HP/HT) solubility data can result in inaccurate predictions because current models extrapolate from data obtained under more conventional conditions. The complete paper describes the generation of additional fundamental solubility data under HP/HT conditions and comparison of the obtained values with several existing models.

Introduction

The limited availability of HP/HT mineral solubility data in simple brine conditions and the paucity of solubility data in complex brine systems means that existing scale-prediction models, including those used in conventional software in common industry use, are forced to extrapolate, resulting in inaccurate and potentially misleading predictions.

Efforts have been made in recent years to address this issue by generating additional solubility data under HP/HT conditions to allow improved models to be developed. It is apparent from the reported work, and comparisons with previous literature, that these measurements are not trivial and require detailed understanding, development, and validation to ensure that reliable measurements are obtained.

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