Daniel Asante Otchere

Daniel Asante Otchere

Universiti Teknologi Petronas

H-index: 9

Asia-Malaysia

About Daniel Asante Otchere

Daniel Asante Otchere, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Universiti Teknologi Petronas, specializes in the field of Artificial Intelligence, Energy, Health Sciences.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributed acoustic sensing in subsurface applications–Review and potential integration with artificial intelligence for an intelligent CO2 storage monitoring system

Data Science and Machine Learning Applications in Subsurface Engineering

Compressional and Shear Sonic Log Determination Using Data-Driven Machine Learning Techniques

Evaluation of the Oil Recovery Potential and Cost Implication Analysis of Alternative ASP Formulations for Sandstone and Carbonate Reservoirs

Energy Geoscience

Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties

Machine-learning-based proxy modelling for geothermal field development optimisation

Sedimentary facies and stratigraphy of the campanian-maastrichtian taloka formation, southeastern Iullemmeden Basin, Nigeria

Daniel Asante Otchere Information

University

Position

PhD student in Petroleum Engineering

Citations(all)

497

Citations(since 2020)

495

Cited By

4

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Universiti Teknologi Petronas

Google Scholar

View Google Scholar Profile

Daniel Asante Otchere Skills & Research Interests

Artificial Intelligence

Energy

Health Sciences

Top articles of Daniel Asante Otchere

Title

Journal

Author(s)

Publication Date

Distributed acoustic sensing in subsurface applications–Review and potential integration with artificial intelligence for an intelligent CO2 storage monitoring system

Daniel Asante Otchere

Abdul Halim Latiff

Bennet Nii Tackie-Otoo

2024/4/7

Data Science and Machine Learning Applications in Subsurface Engineering

Daniel Asante Otchere

2024/2/6

Compressional and Shear Sonic Log Determination Using Data-Driven Machine Learning Techniques

Daniel Asante Otchere

Raoof Gholami

Vanessa Nta

Tarek Omar Arbi Ganat

2024/1/1

Evaluation of the Oil Recovery Potential and Cost Implication Analysis of Alternative ASP Formulations for Sandstone and Carbonate Reservoirs

ACS Omega

Bennet Nii Tackie-Otoo

Daniel Asante Otchere

Abdul Halim Abdul Latiff

Mohammed Abdalla Ayoub Mohammed

Anas Mohammed Hassan

2024/4/29

Energy Geoscience

Segun A Akinyemi

Bemgba B Nyakuma

Aliyu Jauro

Olajide F Adebayo

Olusola A OlaOlorun

...

2020/6/19

Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties

Materials Research Foundations

Grace Amabel Tabaaza

Bennet Nii Tackie-Otoo

Dzulkarnain B Zaini

Bhajan Lal

2023/5

Machine-learning-based proxy modelling for geothermal field development optimisation

Daniel Asante Otchere

Abdul Halim Abdul Latiff

Mohamed Yassir Taki

Longtong Abedenego Dafyak

2023/4/24

Sedimentary facies and stratigraphy of the campanian-maastrichtian taloka formation, southeastern Iullemmeden Basin, Nigeria

Journal of African Earth Sciences

Mutari Lawal

Meor Hakif Amir Hassan

Wan Hasiah Abdullah

Daniel Asante Otchere

2023/4/1

Fundamental error in tree-based machine learning model selection for reservoir characterisation

Energy Geoscience

Daniel Asante Otchere

2023/8/3

A study of the oil recovery potential and mechanisms of an alternative Alkaline-Surfactant-Polymer formulation for carbonate reservoir

Geoenergy Science and Engineering

Bennet Nii Tackie-Otoo

Mohammed Abdalla Ayoub Mohammed

Daniel Asante Otchere

Shiferaw Regassa Jufar

2023/8/1

Contact angle measurements: a critical review of laboratory parametric effect and prospect

Daniel Asante Otchere

Tarek Arbi Omar Ganat

Raoof Gholami

2022

Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field

Journal of Petroleum Science and Engineering

Daniel Asante Otchere

Bennet Nii Tackie-Otoo

Mohammad Abdalla Ayoub Mohammad

Tarek Omar Arbi Ganat

Nikita Kuvakin

...

2022/6/1

Enhancing Drilling Fluid Lost-circulation Prediction: Using Model Agnostic and Supervised Machine Learning

Daniel Asante Otchere

Mohammed Ayoub Abdalla Mohammed

Hamoud Al-Hadrami

Thomas Boahen Boakye

2022

Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification

Applied Soft Computing

Daniel Asante Otchere

Tarek Omar Arbi Ganat

Vanessa Nta

Eric Thompson Brantson

Tushar Sharma

2022/5/1

Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions

Journal of Petroleum Science and Engineering

Daniel Asante Otchere

Tarek Omar Arbi Ganat

Jude Oghenerurie Ojero

Bennet Nii Tackie-Otoo

Mohamed Yassir Taki

2022/1/1

A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs

Applied Sciences

Daniel Asante Otchere

Mohammed Abdalla Ayoub Mohammed

Tarek Omar Arbi Ganat

Raoof Gholami

Zulkifli Merican Aljunid Merican

2022/3/14

ПРИМЕНЕНИЕ ПРЕДОБУЧЕННОЙ СВЕРТОЧНОЙ НЕЙРОННОЙ СЕТИ ДЛЯ АВТОМАТИЧЕСКОЙ ИНТЕРПРЕТАЦИИ РАЗЛОМОВ НА СЕЙСМИЧЕСКИХ ДАННЫХ

Otchere Daniel Asante

Nii Tackie-Otoo Bennet

Ayoub Mohammad Mohammad Abdalla

Omar Arbi Ganat Tarek

Nikita Kuvakin

...

2022

THE APPLICATION OF PRE-TRAINED DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATED SEISMIC FAULT INTERPRETATION

Otchere Daniel Asante

Nii Tackie-Otoo Bennet

Ayoub Mohammad Mohammad Abdalla

Omar Arbi Ganat Tarek

Nikita Kuvakin

...

2022

Field Characteristics of Sedimentary Rocks in the Dohol Formation, Johor, Peninsular Malaysia

IOP Conference Series: Earth and Environmental Science

Alidu Rashid

Numair Ahmed Siddiqui

Nisar Ahmed

Muhammed Jamil

Daniel Asante Otchere

...

2022/10/1

Investigation into the Oil Recovery Process Using an Organic Alkali–Amino Acid-Based Surfactant System

Energy & Fuels

Bennet Nii Tackie-Otoo

Dennis Yaw Atta

Mohammed Abdalla Ayoub Mohammed

Daniel Asante Otchere

2021/6/30

See List of Professors in Daniel Asante Otchere University(Universiti Teknologi Petronas)

Co-Authors

H-index: 27
David Hodgetts

David Hodgetts

Manchester University

H-index: 20
AP Dr. Mohammed Abdalla Ayoub Mohammed

AP Dr. Mohammed Abdalla Ayoub Mohammed

Universiti Teknologi Petronas

H-index: 19
Shams Kalam

Shams Kalam

King Fahd University of Petroleum and Minerals

H-index: 17
Syahrir Ridha

Syahrir Ridha

Universiti Teknologi Petronas

H-index: 9
Bennet Nii Tackie-Otoo

Bennet Nii Tackie-Otoo

Universiti Teknologi Petronas

H-index: 8
Abdul Halim Abdul Latiff

Abdul Halim Abdul Latiff

Universiti Teknologi Petronas

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