Multi-tank material balance model for reservoir simulation
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Solution Overview
Problem
Classical grid-based reservoir simulators are slow and resource-intensive, making them unsuitable for day-to-day production optimization decisions, and the general material balance equation lacks specificity for multi-tank reservoir situations.
Innovation Solution
A computer system divides a reservoir into multiple tank blocks that allow material transfer between adjacent blocks, determining flow rates based on pressure differences and performing dual porosity material balance analyses by evaluating volume changes and relative permeability in fracture and matrix tanks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If grid-based reservoir simulators are used, then accuracy of production forecasting is improved, but simulation speed deteriorates
Solution Approach 1:
The reservoir is divided into multiple discrete tank blocks, each representing a distinct reservoir compartment. This segmentation allows the complex continuous reservoir to be modeled as a series of simpler, manageable units that can be processed more quickly while maintaining essential reservoir behavior characteristics.
Solution Approach 2:
The patent transforms the continuous reservoir model into a discrete multi-tank model by changing the mathematical representation from partial differential equations to algebraic material balance equations. This parameter change from continuous to discrete formulation significantly reduces computational complexity and simulation time.
2Measurement precision
If grid-based reservoir simulators are used, then accuracy of production forecasting is improved, but computational resources required increase
Solution Approach 1:
By segmenting the reservoir into discrete tank blocks, the patent reduces the computational domain from a continuous grid requiring fine spatial discretization to a smaller number of representative volumes. This segmentation dramatically reduces the number of computational variables and equations that must be solved simultaneously.
Solution Approach 2:
The multi-tank model uses simplified algebraic equations instead of complex differential equations, creating a computationally inexpensive model that can be rapidly executed. This disposable approach allows for frequent model updates and scenario analysis without significant computational investment.
3Ease of operation
If general material balance equation is used, then material balance determination is simplified, but applicability to specific multi-tank situations deteriorates
Solution Approach 1:
The patent extends the general material balance concept by dividing the reservoir into multiple discrete tanks, each with its own material balance equation. This segmentation allows the simple GMBE approach to be applied to complex multi-tank configurations while maintaining the ease of algebraic calculation.
Solution Approach 2:
The multi-tank material balance model serves multiple functions: it can model single-tank reservoirs, multi-tank reservoirs, fractured reservoirs, and heterogeneous formations using the same fundamental algebraic framework. This universality maintains simplicity while adapting to various reservoir configurations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables fast and accurate material balance calculations, supporting timely operational decisions and improving the predictive power of reservoir simulations, especially in complex multi-tank and dual porosity reservoirs.
Implementation Method 1
determines a flow rate between the adjacent reservoir tank blocks proportional to the difference in tank block pressures
Data Source
AI summary
Embodiments are directed to performing material balance analysis for tanks in a petroleum reservoir and to performing dual porosity material balance analysis. In one scenario, a computer system divides a reservoir into multiple tank blocks, where at least two tank blocks are adjacent. The adjacent tanks are connected at a tank block boundary so that materials are permitted to travel between the tank blocks. The computer system determines flow rate between adjacent tank blocks proportional to the difference in tank block pressures. Then, upon making this determination, the computer system determines material balance for at least some of the tank blocks in the reservoir through influx and efflux of material across the tank block boundary. The material balance includes a determined material balance for one of the adjacent tank blocks and a determined material balance for the other adjacent tank block.