MECHANISTIC MODELS FOR PREDICTING SAND PRODUCTION: A CASE STUDY OF NIGER DELTA WELLS
Abstract:
Sand production is a significant challenge in oil and gas production operations, as it can lead to equipment damage, reduced well productivity, and increased operational costs. Accurate prediction of sand production is crucial for proactive management and mitigation strategies. This study focuses on the development and application of mechanistic models for predicting sand production in wells located in the Niger Delta region.
The Niger Delta is known for its complex geological formations, characterized by unconsolidated sand reservoirs prone to sand production. The study leverages available data from well logs, core samples, and production history to develop mechanistic models that consider the key factors influencing sand production, such as reservoir properties, stress conditions, fluid flow rates, and rock mechanics.
The research begins with a comprehensive review of existing literature and field data related to sand production in the Niger Delta. This information serves as a foundation for model development and validation. The mechanistic models are built based on fundamental principles of rock mechanics, taking into account parameters such as rock strength, pore pressure, and stress distribution.
The developed models are then calibrated and validated using field data from Niger Delta wells with known sand production histories. The accuracy and reliability of the models are assessed by comparing the predicted sand production rates with the observed production data. Sensitivity analyses are conducted to evaluate the influence of various parameters on sand production behavior.
The results demonstrate the effectiveness of the mechanistic models in predicting sand production in Niger Delta wells. The models provide insights into the mechanisms governing sand production and enable proactive decision-making regarding well design, completion strategies, and production optimization. Furthermore, the study highlights the importance of considering the unique geological and reservoir characteristics of the Niger Delta when developing predictive models for sand production.
Overall, this research contributes to the understanding and management of sand production challenges in the Niger Delta region. The mechanistic models developed in this study can serve as valuable tools for operators and engineers involved in oil and gas production activities, facilitating more efficient and cost-effective sand management strategies in the Niger Delta and potentially in similar geological environments worldwide.
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