Polymer-Based Scale Inhibition of Calcium Sulfate Using Phosphino-Polycarboxylic Acid: Experimental Evaluation, RSM Modeling, and Process Optimization

Calcium sulfate scale formation is a major challenge in oilfield production systems. In this study, the performance of phosphino-polycarboxylic acid (PPCA) as a polymeric scale inhibitor was evaluated using static jar tests and modeled using Response Surface Methodology (RSM). The effects of temperature (50–100 °C), inhibitor concentration (10–50 ppm), and calcium ion concentration (1000–10,000 ppm) on inhibition efficiency (IE%) were investigated through 60 experimental runs. The results showed that IE% varied from 33.7% to 95.4%, depending on operating conditions. A quadratic RSM model demonstrated excellent predictive capability (R2 = 0.9977) with a low average error of 1.4%. Among the variables, inhibitor concentration had the strongest effect, followed by calcium ion concentration and temperature. Increasing PPCA concentration significantly improved inhibition efficiency, exceeding 90% at dosages above 35 ppm, while higher temperature and calcium concentration reduced performance. Response surface analysis indicated that IE% above 94% could be achieved at 43–50 ppm inhibitor and temperatures below 63 °C. Under harsh conditions (100 °C and 10,000 ppm Ca2+), 42–50 ppm PPCA maintained IE above 90%, with a predicted maximum of 90.81%. These results confirm the effectiveness of PPCA and provide a reliable basis for optimizing scale inhibition performance.

Authors

Institutions

Publication Details

Journal
Polymers
Published
2026-05-10
DOI
https://doi.org/10.3390/polym18101173
Primary Topic
Calcium Carbonate Crystallization and Inhibition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polymer-Based Scale Inhibition of Calcium Sulfate Using Phosphino-Polycarboxylic Acid: Experimental Evaluation, RSM Modeling, and Process Optimization

Azizollah Khormali, Soroush Ahmadi
Polymers
Calcium Carbonate Crystallization and Inhibition
article

Polymer-Based Scale Inhibition of Calcium Sulfate Using Phosphino-Polycarboxylic Acid: Experimental Evaluation, RSM Modeling, and Process Optimization

Azizollah Khormali, Soroush Ahmadi
article en

Abstract

Calcium sulfate scale formation is a major challenge in oilfield production systems. In this study, the performance of phosphino-polycarboxylic acid (PPCA) as a polymeric scale inhibitor was evaluated using static jar tests and modeled using Response Surface Methodology (RSM). The effects of temperature (50–100 °C), inhibitor concentration (10–50 ppm), and calcium ion concentration (1000–10,000 ppm) on inhibition efficiency (IE%) were investigated through 60 experimental runs. The results showed that IE% varied from 33.7% to 95.4%, depending on operating conditions. A quadratic RSM model demonstrated excellent predictive capability (R2 = 0.9977) with a low average error of 1.4%. Among the variables, inhibitor concentration had the strongest effect, followed by calcium ion concentration and temperature. Increasing PPCA concentration significantly improved inhibition efficiency, exceeding 90% at dosages above 35 ppm, while higher temperature and calcium concentration reduced performance. Response surface analysis indicated that IE% above 94% could be achieved at 43–50 ppm inhibitor and temperatures below 63 °C. Under harsh conditions (100 °C and 10,000 ppm Ca2+), 42–50 ppm PPCA maintained IE above 90%, with a predicted maximum of 90.81%. These results confirm the effectiveness of PPCA and provide a reliable basis for optimizing scale inhibition performance.

PolymersVol. 18(10)
Gonbad Kavous University (IR), Persian Gulf University (IR)
Openalex Percentile: Top 8%
Calcium Carbonate Crystallization and Inhibition
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.