Wellbore Completion Design via Streamline Model Zone Partitioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computer systems used for modeling underground formations and hydrocarbon extraction face inefficiencies and inaccuracies in managing large data volumes and timing requirements, leading to non-optimal design generation.
Innovation Solution
The system partitions a wellbore into independent production zones based on fluid front arrival times, allocates target flow rates, and adjusts choke parameters to optimize completion design using streamline model-based equalization and proxy models for efficient fluid front arrival time calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional modeling and simulation techniques are used to manage large data volumes from oilfield sensors, then comprehensive analysis can be performed, but computational efficiency decreases and execution time increases
Solution Approach 1:
The wellbore is divided into multiple independent production zones based on fluid front arrival times. Each zone can be analyzed and optimized independently, reducing the computational complexity of the overall system while maintaining modeling accuracy.
Solution Approach 2:
Fluid front arrival times are calculated in advance for each production zone before optimizing choke parameters. This preliminary calculation allows for efficient allocation of target flow rates and reduces the iterative computational burden during optimization.
2Manufacturing precision
If traditional modeling techniques are used to generate completion design, then detailed analysis can be performed, but the time to return results increases
Solution Approach 1:
The completion design process is segmented into distinct steps: calculating fluid front arrival times, partitioning production zones, allocating target flow rates, and optimizing choke parameters. This segmentation allows each step to be optimized independently, reducing total execution time while maintaining design accuracy.
Solution Approach 2:
The system changes key parameters such as partitioning the wellbore into independent zones and using fluid front arrival times as the basis for zone division. These parameter changes enable more efficient computation while preserving the accuracy needed for optimal completion design.
3Reliability
If uniform fluid front arrival times are achieved through partitioning and choke optimization, then reservoir sweep efficiency improves, but computational resources and time increase
Solution Approach 1:
By segmenting the wellbore into independent production zones based on fluid front arrival times, the system can achieve uniform sweep efficiency across zones without requiring computationally intensive full-field simulations for each optimization iteration.
Solution Approach 2:
Fluid front arrival times are calculated preliminarily for each production zone, allowing the optimization algorithm to focus only on choke parameter adjustments rather than recalculating fluid dynamics from scratch, thus reducing computational resource usage while achieving uniform sweep efficiency.
Data Source
AI summary
Reservoir sweep efficiency includes obtaining fluid front arrival times for streamlines in a reservoir. A wellbore is partitioned into independent production zones, and a target flow rate is allocated to each of the independent production zones based on the fluid front arrival times. Partition choke parameters complying with the target flow rates are allocated to generate a completion design, which is presented.