Session: Corrosion Inhibitors in the Oil and Gas Industry (Part II of III)
Calculating Corrosion Inhibitor Adsorption and Desorption Rates Using Gradient-based and Data-Addition Methodologies (C2026-00111)
Thursday, March 19, 2026
8:30 AM - 9:00 AM Central
Location: 362 DE
Earn .5 PDH
Interested in reading the entire paper? Click on the "Paper" button below to read on the AMPP Knowledge Hub!
*Please note, if your registration came with access to the conference proceedings don't forget to login to your AMPP Knowledge Hub account to access the paper for free. If you login and don't have access to the paper, you can purchase the individual paper or purchase the entire conference proceedings on your Knowledge Hub account.
Yahya Alhilali, Richard Barker, Richard Woollam, Harvey Thompson, Mohammadhassan Sarabchi
Accurately determining when surfactant adsorption reaches a steady state is essential for understanding corrosion inhibitor performance. Present methods rely on subjective inspection of the data resulting in inconsistent and difficult to reproduce analysis. This work addresses this challenge by developing two rigorous methods to identify the transition point between transient and steady-state conditions. The goal is to enable consistent calculation of adsorption (Ka) and desorption (Kd) rate constants, improving reproducibility in kinetic studies. The first method applies a gradient-based approach, identifying the point zero where the derivative of the corrosion rate data first vanishes to detect the transition point. The second method uses an iterative data-addition routine to fit experimental data by progressively truncating the corrosion rate curve. Each method was applied to a common dataset and compared for accuracy and performance. Both methods yielded statistically equivalent rate constants for adsorption and desorption, with excellent agreement in regression quality. Automation of both approaches provides a valuable consistency check, and their complementarity ensures reliability. The gradient-based method offers a faster, simpler workflow with minimal manual intervention, while the data-addition method provides greater scope for iterative fine‑tuning. Together, these automated techniques offer robust, reproducible tools for kinetic analysis in corrosion inhibitor studies.
