The Effect of Dynamic Data Adjustments in Production System Simulation Models on Oil Production Forecasting Applied To Reservoir Simulation Models
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 52
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JPSTR-11-1_003
تاریخ نمایه سازی: 30 آذر 1402
Abstract:
Simulation models of integrated reservoir and production systems are required for a robust production forecast. Traditionally, reservoir and production system models are calibrated against dynamic data to establish future boundary conditions. Herein, we propose probabilistic data assimilation for production system models to improve the quality of production forecasts. We used a benchmark case through a reference model, which represents the real field, and a simulation model for (۱) sensitivity analysis of production system parameters; (۲) adjustment of production system parameters, based on dynamic production history data, to minimize the gap between data and model using an optimization method; and (۳) comparison of production forecast in the simulation model, coupled to history-matched and non-matched production systems, and a reference model. Sensitivity analysis of production system parameters indicated a significant impact of the pressure gradient adjustment parameter. But we verified that there were no unique correlations (multiphase flow and fluid) and absolute roughness in the production tubing that fit overall production history, affecting production forecast. Comparing production curves of simulations, coupled with history-matched and non-matched production system models to the reference model, we show that adequately adjusted models are closer to the real model. It is mainly the case for systems with higher capacity, where production is more dependent on the responses of the production system. The probabilistic calibration approach of production systems before integrating reservoir models to adjust production systems simulation models is simple to perform. It can improve the quality of the forecast of the field.
Keywords:
Authors
Marcelo Lopes
Center for Petroleum Studies, University of Campinas, Campinas, SP, Brazil
Joao von Hohendorff Filho
Center for Petroleum Studies, University of Campinas, Campinas, SP, Brazil
Denis Schiozer
Center for Petroleum Studies, University of Campinas, Campinas, SP, Brazil
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :