Automation of Well Modeling and Data Validation for Reservoir Simulation

Abstract

Abstract Hydrocarbon wells are the most critical and challenging asset in any oil and gas field development and operation plan. The quality of the history matched reservoir simulation model and reliability of future field performance forecasts depend heavily on the accuracy of the well model. In typical reservoir simulation studies, a tremendous amount of time is devoted to gather and validate data required to construct the simulation model, particularly well related data, including well trajectories, completions, production and injection rates, well logs and downhole flow control devices. This issue can become more challenging when thousands of wells are involved with multiple configurations and complex completions. Therefore, it is critical to ensure the quality and accuracy of well data to have consistent, comprehensive and reliable reservoir models that can be used to forecast reservoir performance. In this paper, an advanced system for extracting, validating and pre-processing complex well information from the corporate database to perform well modeling and simulation is presented. The paper demonstrates how this system ensures the validity and accuracy of well models by applying advanced quality control measures with strong capabilities for detecting data inconsistencies. The paper starts with a description of the system and how the pre-processed wells contribute in building an integrated environment to serve complex well modeling. The paper demonstrates that the quality control process leads to an automated, efficient and easy well data processing procedure with a significant degree of reliability. In addition, real cases and lessons learned from this experience are discussed. The system implements new design and algorithms while dealing with a massive amount of data gathered from giant onshore and offshore oil and gas fields. This paper shows how Saudi Aramco applies creative solutions for the best utilization of the Upstream corporate data to support decision making, increase productivity and save costs. Introduction There are many production well control parameters in interest that affect well performance. These parameters vary in their accuracy depending on the precision of the well model. At the same time, reservoir simulation depends on the well data availability and accuracy. Well data availability and accuracy is even not enough for having solid basis for good reservoir simulation results. There is an important process between these two parameters which treats the massive amount of well data and drives it to make it usable. Extracting these amount of data is a critical stage and needs a lot of effort to be spent in quality check and filtering out the desired information. The time and effort spent on this process is excessively huge and definitely delay the simulation work. Therefore, in order to achieve accuracy and secure the well integrity, massive amount of data are retrieved from the corporate database and exported in certain format. This is done using a special in-house developed tool called Simulation Well Information Tool (SWIFT) which serves as a reservoir simulation gateway to well information database. It simplifies and streamlines the process of retrieving well information from the corporate database for the purpose of reservoir simulation.