Machine learning models for equivalent circulating density prediction from drilling data

H Gamal, A Abdelaal, S Elkatatny - ACS omega, 2021 - ACS Publications
Equivalent circulating density (ECD) is considered a critical parameter during the drilling
operation, as it could lead to severe problems related to the well control such as fracturing …

Drilling digital twin success stories the last 10 years

MG Mayani, M Svendsen, SI Oedegaard - SPE Norway Subsurface …, 2018 - onepetro.org
Objective of the paper is to describe and present results of using a" Digital Twin" in Drilling
Operations (Planning and Engineering, Training and Operational Support) in the last 10 …

New approach to evaluate the equivalent circulating density (ECD) using artificial intelligence techniques

KZ Abdelgawad, M Elzenary, S Elkatatny… - Journal of Petroleum …, 2019 - Springer
The equivalent circulation density (ECD) is a very important parameter in drilling high-
pressure high-temperature and deepwater wells. ECD is a key parameter during drilling …

New technology to evaluate equivalent circulating density while drilling using artificial intelligence

M Elzenary, S Elkatatny, KZ Abdelgawad… - SPE Kingdom of Saudi …, 2018 - onepetro.org
The equivalent circulation density (ECD) is a very important parameter in drilling high
pressure high temperature (HPHT) wells and deep water wells. In formations where the …

Artificial Neural Network Model for Predicting the Equivalent Circulating Density from Drilling Parameters

H Gamal, A Abdelaal, A Alsaihati, S Elkatatny… - ARMA US Rock …, 2021 - onepetro.org
The equivalent circulating density (ECD) is considered a critical parameter during the drilling
operation. The ECD measurement should have a high degree of accuracy not to cause well …

Detection of symptoms for revealing causes leading to drilling failures

P Skalle, A Aamodt, OE Gundersen - SPE Drilling & Completion, 2013 - onepetro.org
When a diagnosis of a problem is known, the problem can usually be solved efficiently. This
paper presents a method that helps reveal the most probable cause of a drilling-process …

Prediction of the equivalent circulation density using machine learning algorithms based on real-time data.

A Kandil, S Khaled, T Elfakharany - AIMS Energy, 2023 - search.ebscohost.com
Equivalent circulation density (ECD) is one of the most important parameters that should be
considered while designing drilling programs. With increasing the wells' deep, offshore …

Mathematical Modelling of the Drilling Process for Real-time Applications in Drilling Simulation, Interpretation and Assistance

E Cayeux - 2019 - uis.brage.unit.no
For the last thirty years, mathematical modelling has been used to develop software
solutions that support drilling engineering activities at the planning stage of drilling …

Digitized uncertainty handling of pore pressure and mud-weight window ahead of bit: North Sea Example

AE Lothe, P Cerasi, M Aghito - SPE Journal, 2020 - onepetro.org
A digitized workflow from predrill pore‐pressure modeling with a Monte Carlo approach until
update of the pressure prognosis while drilling from (for example) sonic or resistivity data is …

Drilling Data Based Approach for Equivalent Circulation Density Prediction While Drilling

A Abdelaal, S Elkatatny, H Gamal… - ARMA US Rock …, 2023 - onepetro.org
The current research presents a machine learning application toward predicting the
equivalent circulating density (ECD) in real-time while drilling operations. Maintaining high …