Integration of Formation and Drilling Parameters to Generate a Deterministic ROP Model

MR Khan, A Sadeed, S Kalam… - Offshore Technology …, 2022 - onepetro.org
Drilling performance is greatly driven by the rate of penetration (ROP) and its optimization.
Therefore, accurate prediction of ROP before drilling can help take measures to achieve …

Data Driven Modelling to Predict Poisson's Ratio and Maximum Horizontal Stress

M Shreif, S Kalam, MR Khan - International Petroleum Technology …, 2023 - onepetro.org
During the design phase of oil and gas well drilling plans, predicting geomechanical
parameters is an indispensable job. Accurate estimation of the Poisson's ratio and the …

Soft Computing Approach for the Prediction of Surfactant Adsorption

S Kalam, SA Abu-Khamsin, MS Kamal, S Patil… - Abu Dhabi …, 2022 - onepetro.org
Surfactants are commonly used in chemical enhanced oil recovery (cEOR). The quantity of
surfactant loss due to adsorption on a rock directly influences a cEOR project economics …

Parametrización petrofísica de secuencias siliciclásticas areno-arcillosas con redes neuronales.

D López-Aguirre… - Boletín de la …, 2023 - search.ebscohost.com
En este trabajo se utilizan redes neuronales como una ventajosa herramienta para estimar
parámetros petrofísicos de la columna estratigráfica atravesada por varios pozos. Los …