Pressure Response Modeling for In-Situ Diverting Acid Flow
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing models fail to accurately predict the pressure response of in-situ diverting acid flow in carbonate formations, which is crucial for effective hydrocarbon production stimulation, as they do not consider key factors like reaction kinetics, acid injection rate, and rock properties.
Innovation Solution
A mechanistic model that divides the formation into multiple zones, accounting for reaction kinetics, acid velocity, and injection rate to predict pressure response, allowing for adjustments to stimulation parameters based on pressure thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing models are used to predict pressure response, then the modeling process is simple, but the accuracy of pressure response prediction is poor
Solution Approach 1:
The formation is divided into multiple zones (e.g., undisturbed zone, disturbance zone, wormhole zone) based on the acid flow process. Each zone is modeled separately with specific parameters, allowing the complex pressure response to be broken down into manageable segments that can be simulated individually and then combined to produce accurate overall predictions.
Solution Approach 2:
The model dynamically adjusts multiple parameters including reaction kinetics, acid concentration, injection rate, velocity, and zone boundaries to accurately represent the acid flow process. By changing these parameters based on actual formation conditions and acid-rock interactions, the model achieves high prediction accuracy while remaining computationally manageable.
2Measurement precision
If reaction kinetics and injection rate are considered in the model, then the pressure response prediction accuracy is improved, but the computational time increases
Solution Approach 1:
By segmenting the formation into distinct zones with specific reaction kinetics characteristics, the computational domain is reduced. Instead of modeling the entire formation uniformly, only the relevant zones (undisturbed, disturbance, wormhole) are simulated with appropriate kinetic parameters, significantly reducing computational time while maintaining accuracy.
Solution Approach 2:
The model applies reaction kinetics only to the extent necessary for accurate prediction, focusing computational resources on the disturbance zone and wormhole regions where acid-rock interactions are most significant, rather than uniformly applying complex kinetic calculations throughout the entire formation.
3Measurement precision
If multiple zones are divided in the model, then the pressure response prediction accuracy is improved, but the model complexity increases
Solution Approach 1:
The formation is divided into multiple zones (undisturbed zone, disturbance zone, wormhole zone) based on the acid flow process. Each zone is modeled separately with specific parameters, allowing the complex pressure response to be broken down into manageable segments that can be simulated individually and then combined to produce accurate overall predictions.
Solution Approach 2:
Each zone is assigned local-specific parameters and properties appropriate to its characteristics. The undisturbed zone uses baseline formation parameters, the disturbance zone uses parameters adjusted for acid exposure, and the wormhole zone uses parameters reflecting enhanced permeability and acid concentration, allowing accurate local modeling without requiring the entire model to be overly complex.
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
Enhances the accuracy and reliability of hydrocarbon production stimulation by predicting pressure responses effectively, leading to improved hydrocarbon recovery and reduced non-production time.
Implementation Method 1
modeling a length of a disturbance zone included in the multiple zones based on a function of: reaction kinetics associated with the acid and rock included in the formation
Data Source
AI summary
Examples described herein provide for modeling pressure response of acid flow of an acid in a formation. An example method includes receiving data associated with acid stimulation of a formation and modeling the pressure response of the acid flow in the formation. Modeling the pressure response is based on a model which divides a domain into multiple zones, and modeling the pressure response includes modeling a length of a disturbance zone included in the multiple zones based on a function of: reaction kinetics associated with the acid and rock included in the formation; and an injection rate of the acid, a velocity of the acid, or both. The method includes performing the acid stimulation based on a stimulation parameter associated with the data and the acid stimulation or a modified stimulation parameter, responsive to determining whether the pressure response satisfies the pressure response threshold.