Well Development Sequence Optimization Using Genetic Algorithms
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Solution Overview
Problem
Conventional well development planning and execution are complex, costly, and inefficient due to the numerous variables and logistical considerations involved in developing multiple wells within a development zone, leading to a high number of possible sequences that complicate optimization.
Innovation Solution
A genetic algorithm is employed to optimize well development sequences by permutating well sequences, applying a constraint function to generate development plans, and selecting optimal plans based on expected values such as revenue, cost, and risk, considering factors like degradation risks and synergies between wells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional well development planning methods are used, then planning can be performed with traditional approaches, but the process becomes complex, costly, and inefficient due to numerous variables and logistical considerations
Solution Approach 1:
The patent replaces manual, mechanical planning processes with an automated computer-based optimization system that uses genetic algorithms and constraint satisfaction methods. The system automatically generates, evaluates, and selects optimal well development sequences by substituting human planning efforts with computational algorithms that can process numerous variables and constraints simultaneously, thereby improving efficiency while managing complexity.
Solution Approach 2:
The patent transforms the planning approach by changing from fixed, sequential planning to dynamic optimization where multiple parameters (well sequences, timing, resource allocation) are simultaneously adjusted. The system evaluates numerous parameter combinations through genetic algorithms to identify optimal configurations, allowing flexible adjustment of development sequences based on varying constraints and objectives.
2Quantity of substance
If multiple wells are developed in a development zone, then production capacity increases, but the number of possible sequences increases making optimization difficult
Solution Approach 1:
The patent segments the overall well development planning into discrete, manageable components: individual well development sequences, constraint conditions, and evaluation metrics. By breaking down the complex multi-well development into separable elements that can be independently analyzed and recombined, the system can efficiently evaluate numerous sequences without being overwhelmed by overall complexity.
Solution Approach 2:
The patent creates multiple copies or variations of well development sequences through genetic algorithm operations (crossover, mutation) to generate a population of candidate solutions. These copied and modified sequences are then evaluated against constraints to identify optimal configurations, allowing the system to explore numerous possibilities efficiently rather than analyzing each sequence from scratch.
3Productivity
If traditional well development planning is used, then planning can be performed manually, but it becomes costly and inefficient due to logistical and operational considerations
Solution Approach 1:
The patent implements a self-service planning system where the optimization algorithm autonomously generates and evaluates well development sequences without requiring extensive manual intervention. The system automatically incorporates logistical and operational constraints, performs iterative optimization, and selects the best sequences, thereby reducing both time and cost expenditures associated with manual planning while improving execution efficiency.
Data Source
AI summary
A computer-implemented method for optimizing a well development sequence for a development zone includes receiving one or more inputs based on the development zone. The method can also include generating a well development plan based on the development zone and the one or more inputs. Additionally, the method can also include calculating an expected value based on the well development plan. A system and a non-transitory computer-readable medium are also provided.