Permeability Prediction from Clay Volume Using Artificial Intelligence

von Alhamood, Hussain A.
Veröffentlicht in International Petroleum Technology Conference (14. : 2022 : Riad) International Petroleum Technology Conference 2022 ; Volume 1 of 6 (2022)

A Comparative Study Between Artificial Intelligence Models and a Statistical Learning Model to Predict Gas Adsorption in Shales

von Aly, Moustafa
Veröffentlicht in SPE Canadian Energy Technology Conference and Exhibition (2023 : Calgary) SPE Canadian Energy Technology Conference and Exhibition 2023 ; Volume 2 of 2 (2023)

ROCK DRILLABILITY INTELLIGENT PREDICTION FOR A COMPLEX LITHOLOGY USING ARTIFICIAL NEURAL NETWORK.

von Gamal, Hany
Veröffentlicht in Abu Dhabi International Petroleum Exhibition & Conference (2020 : Online) Abu Dhabi International Petroleum Exhibition & Conference 2020 ; Volume 6 of 12 (2021)

Prediction of Dew Point Pressure for High-Pressure Gas Reservoirs Using Artificial Intelligence Techniques

von Hassan, Amjed
Veröffentlicht in ADIPEC (2022 : Abu Dhabi, Stadt) Abu Dhabi International Petroleum Exhibition and Conference 2022 (ADIPEC) ; Volume 13 of 13 (2023)

AN ARTIFICIAL INTELLIGENCE APPROACH TO PREDICT THE WATER SATURATION IN CARBONATE RESERVOIR ROCKS

von Tario, Zeeshan
Veröffentlicht in SPE Annual Technical Conference and Exhibition (2019 : Calgary) SPE Annual Technical Conference and Exhibition 2019 ; Volume 6 of 9 (2020)

A REVIEW OF PORE STRUCTURE CHARACTERIZATION OF UNCONVENTIONAL TIGHT RESERVOIRS

von Mustafa, Ayyaz
Veröffentlicht in Abu Dhabi International Petroleum Exhibition & Conference (2019 : Abu Dhabi, Stadt) Abu Dhabi International Petroleum Exhibition & Conference 2019 ; Volume 9 of 12 (2021)

DISCRIMINATING SHALE LAYERS BY PSEUDO CGR LOGS CREATED USING ARTIFICIAL INTELLIGENCE

von Aldajani, Saud K.
Veröffentlicht in SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry (2021 : Online) SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry (2021)

A STATISTICAL MACHINE LEARNING MODEL TO PREDICT EQUIVALENT CIRCULATION DENSITY ECD WHILE DRILLING, BASED ON PRINCIPAL COMPONENTS ANALYSIS PCA

von Alsaihati, Ahmed
Veröffentlicht in SPE/IADC Middle East Drilling Technology Conference and Exhibition (12. : 2021 : Abu Dhabi, Stadt; Online) SPE/IADC Middle East Drilling Technology Conference and Exhibition 2021 ; Volume 2 of 2 (2021)

CORE SCALE FEM MODELING OF THERMOCHEMICAL FRACTURING ON CEMENT CUBE SAMPLES

von Tariq, Zeeshan
Veröffentlicht in ADIPEC (2021 : Abu Dhabi, Stadt) Abu Dhabi International Petroleum Exhibition & Conference 2021 ; Volume 11 of 13 (2022)

EARLY ANOMALY DETECTION MODEL USING RANDOM FOREST WHILE DRILLING HORIZONTAL WELLS WITH A REAL CASE STUDY

von Alsaihati, Ahmed
Veröffentlicht in SPE/IADC Middle East Drilling Technology Conference and Exhibition (12. : 2021 : Abu Dhabi, Stadt; Online) SPE/IADC Middle East Drilling Technology Conference and Exhibition 2021 ; Volume 2 of 2 (2021)

PREDICTION OF LOST CIRCULATION ZONES USING ARTIFICIAL NEURAL NETWORK AND FUNCTIONAL NETWORK

von Ahmed, Abdulmalek
Veröffentlicht in Abu Dhabi International Petroleum Exhibition & Conference (2020 : Online) Abu Dhabi International Petroleum Exhibition & Conference 2020 ; Volume 6 of 12 (2021)

A NOVEL EMPIRICAL CORRELATION TO PREDICT THE DEW POINT PRESSURE USING INTELLIGENT ALGORITHMS

von Khan, Mohammad Rasheed
Veröffentlicht in Abu Dhabi International Petroleum Exhibition & Conference (2019 : Abu Dhabi, Stadt) Abu Dhabi International Petroleum Exhibition & Conference 2019 ; Volume 9 of 12 (2021)

THERMOCHEMICAL-PULSE FRACTURING OF TIGHT GAS: INVESTIGATION OF PULSE LOADING ON FRACTURING BEHAVIOR

von Al-Nakhli, Ayman
Veröffentlicht in SPE/IADC Middle East Drilling Technology Conference and Exhibition (12. : 2021 : Abu Dhabi, Stadt; Online) SPE/IADC Middle East Drilling Technology Conference and Exhibition 2021 ; Volume 2 of 2 (2021)

New Inflow Performance Relationship for a Horizontal Well in a Naturally Fractured Solution Gas Drive Reservoirs using Artificial Intelligence Technique

von Tariq, Zeeshan
Veröffentlicht in Offshore Technology Conference Asia (2018 : Kuala Lumpur) Offshore Technology Conference Asia 2018 ; Volume 5 of 5 (2018)

EMERGING TECHNIQUES IN MEASURING CAPILLARY PRESSURE AND PERMEABILITY USING NMR AND AI

von Ghamdi, Ahmed
Veröffentlicht in SPE Middle East Oil & Gas Show and Conference (22. : 2021 : Sanābis) SPE Middle East Oil & Gas Show and Conference 2021 ; Volume 1 of 5 (2022)

IMPROVING RATE OF PENETRATION IN HIGH PRESSURE HIGH TEMPERATURE GAS WELLS BY UTILIZATION OF MANAGED PRESSURE DRILLING AND ARTIFICIAL INTELLIGENCE

von Ghamdi, Ahmed
Veröffentlicht in SPE/IADC Middle East Drilling Technology Conference and Exhibition (12. : 2021 : Abu Dhabi, Stadt; Online) SPE/IADC Middle East Drilling Technology Conference and Exhibition 2021 ; Volume 2 of 2 (2021)

Development of a New Correlation for Bubble Point Pressure in Oil Reservoirs using Artificial Intelligence Technique

von Elkatatny, Salaheldin
Veröffentlicht in SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition (2017 : Ad-Dammam) SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition 2017 ; Volume 1 (2017)

A Hybrid Artificial Intelligence Method to Predict Gas Solubility and Bubble Point Pressure

von Moussa, Tamer
Veröffentlicht in SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition (2017 : Ad-Dammam) SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition 2017 ; Volume 2 (2017)

CHEMICALLY-INDUCED PRESSURE PULSE: FRACTURING COMPETENT RESERVOIRS

von Al-Nakhli, Ayman R.
Veröffentlicht in SPE/IADC Middle East Drilling Technology Conference and Exhibition (12. : 2021 : Abu Dhabi, Stadt; Online) SPE/IADC Middle East Drilling Technology Conference and Exhibition 2021 ; Volume 1 of 2 (2021)

A New Approach to Predict Failure Parameters of Carbonate Rocks using Artificial Intelligence Tools

von Tariq, Zeeshan
Veröffentlicht in SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition (2017 : Ad-Dammam) SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition 2017 ; Volume 2 (2017)