Quantitative Analysis of Heterogeneity Effects and Heat Transfer on Self-Diverting Acid Performance in Multi-Layered Carbonate Reservoirs

The severe heterogeneity of carbonate reservoirs poses a significant challenge to matrix acidizing, making the achievement of uniform stimulation across multiple strata a persistent engineering difficulty. To address this, a numerical simulation program for self-diverting acid (SDVA) in multi-layered rocks was developed based on the two-scale continuum model and the open-source framework FMOT. This study primarily investigates the regulatory effects of heterogeneity intensity and initial temperature on uniform acidizing performance. The results indicate that, compared to conventional HCl, SDVA significantly enhances the uniform acidizing efficacy in low-permeability layers. Furthermore, SDVA induces a unique “competitive propagation” pattern among multi-layered rocks, which is fundamentally distinct from the fluid diversion behavior of HCl. As the formation heterogeneity intensity increases, the resulting wormhole morphology becomes increasingly complex, accompanied by more pronounced inter-layer flow competition. Moreover, unlike HCl, whose flow distribution pattern and wormhole morphology are insensitive to thermal changes, the acidizing performance of SDVA exhibits marked temperature dependence. At lower temperatures, the competitive propagation pattern diminishes significantly; however, as the temperature rises, the inter-layer fluid competition becomes progressively intensified, and this competitive state persists until the ultimate breakthrough of the rock matrix.

Authors

Institutions

Publication Details

Journal
Processes
Published
2026-06-29
DOI
https://doi.org/10.3390/pr14132106
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Analysis of Heterogeneity Effects and Heat Transfer on Self-Diverting Acid Performance in Multi-Layered Carbonate Reservoirs

Fajian Nie, Jinwei Wu
Processes
Hydraulic Fracturing and Reservoir Analysis
article

Quantitative Analysis of Heterogeneity Effects and Heat Transfer on Self-Diverting Acid Performance in Multi-Layered Carbonate Reservoirs

Fajian Nie, Jinwei Wu
article en

Abstract

The severe heterogeneity of carbonate reservoirs poses a significant challenge to matrix acidizing, making the achievement of uniform stimulation across multiple strata a persistent engineering difficulty. To address this, a numerical simulation program for self-diverting acid (SDVA) in multi-layered rocks was developed based on the two-scale continuum model and the open-source framework FMOT. This study primarily investigates the regulatory effects of heterogeneity intensity and initial temperature on uniform acidizing performance. The results indicate that, compared to conventional HCl, SDVA significantly enhances the uniform acidizing efficacy in low-permeability layers. Furthermore, SDVA induces a unique “competitive propagation” pattern among multi-layered rocks, which is fundamentally distinct from the fluid diversion behavior of HCl. As the formation heterogeneity intensity increases, the resulting wormhole morphology becomes increasingly complex, accompanied by more pronounced inter-layer flow competition. Moreover, unlike HCl, whose flow distribution pattern and wormhole morphology are insensitive to thermal changes, the acidizing performance of SDVA exhibits marked temperature dependence. At lower temperatures, the competitive propagation pattern diminishes significantly; however, as the temperature rises, the inter-layer fluid competition becomes progressively intensified, and this competitive state persists until the ultimate breakthrough of the rock matrix.

ProcessesVol. 14(13)
Sinopec (China) (CN), Yangtze University (CN)
Openalex Percentile: Top 13%
Hydraulic Fracturing and Reservoir Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantitative Analysis of Heterogeneity Effects and Heat Transfer on Self-Diverting Acid Performance in Multi-Layered Carbonate Reservoirs — Fajian Nie, Jinwei Wu · Processes (2026) | TGRS Research Map | TGRS