Tuesday, November 29
Chief Drilling Engineer
Director Digital Drilling
Edgar Echevarria Garnica
As the industry is progressing towards a safer, more efficient, and greener ecosystem, drilling operation is witnessing additional automated data-driven activities replacing repetitive manual tasks with automation sequences and robots, while using sensors and real-time analytics to achieve unprecedented results.
Drilling automation technologies have come a long way in the last 30 years. Robotic systems are now leading the way towards a safer and more efficient drilling systems. Industry proven robots, combined with reliable sensor data and advanced digital controls are maximising the value of today’s drilling operations.
In this session, we take a look at this technology available today, the value it is bringing to drilling operations along with requirements, methodology, and retrofit ability on the current fleet.
- Austin Groover, Nabors
- Using Process Automation to Drive Standardization and Increase Efficiency Across Rigs
- Edgar Echevarria Garnica, SLB
- Drilling Automation: Unlock The Performance With Consistently Drilling Operations Thru Advance Rig Automation System
- Gaby Abou Fayad, NOV
- Introducing Robotics and automation to Drilling Operations
- Aaron Eddy, Pason Systems
- Leveraging Automation to Assist in a Continuous Improvement Workflow
- Sayaf Alsurayie, Baker Hughes
- i-Trak Automated Reservoir Navigation System: Real-Time Application Implementation
Digital Transformation Thru MPD Automation
Energy Transition Products – nanO2® Diesel Combustion Catalyst
Canrig Drilling Technology
Reducing Drilling Rig Fuel Usage and Emissions
H&P Engine Management
Helmerich and Payne
Evolving QHSE Compliance with Use of ‘In App’ Analytics
Canrig Drilling Technology
Bruno de Oliveira e Sousa
As the world integrates renewable energy resources, the oil and gas industry plays an important role in the energy transition by providing affordable and reliable energy. The oil and gas industry is aiming for net-zero emissions by 2050. Achieving an overall balance between greenhouse gas emissions produced and taken out. Everything starts with the digital data collection.
In this session we will discuss fuel management system, engine efficiency optimisation, energy storage systems, rig schedule and move optimisation.
- Hussein Hamdan/Philippe Marquier, Arabian Drilling/Cameron
- Intelligent Power Management System (IPMS)
- Jason Braithwaite, NOV
- Aggregation of Digital Data to Optimize Engine Load and Reduce Emissions in Real Time
- James Hall, Canrig Drilling Technology
- Energy Transition Products – SmartPOWER Rig Energy Management Solution
- Bruno de Oliveira e Sousa, Siemens Energy
- Condition and Performance Monitoring of Battery Energy Storage Systems (BESS) in Drilling Operations
With rapid adaptation of industrial automation and AI technologies, use-cases with mature digital tools such as computer vision, predictive modelling, AR/VR and robotics have seen an up-take in drilling operations. These technologies have a direct impact on reducing human exposure to harsh environments, reinforcing safety culture, maintaining high level of operational quality and continuously improving technical skills. In this session, we will examine and review the role of digital technologies towards a safe, reliable and efficient drilling operations.
- Leonardo Nogueira, ALTAVE
- Camera Based PPE Detection and RED ZONE Management - Powered by AI
- Thiago Guimaraes, Viasat
- An Innovative Approach for RTOC Safety Process
- Moshabbab Alotaibi, Aramco
- Machine Learning-Based Image Recognition to Improve Equipment Safety Inspections
- Mansur Damiev, Pason Systems
- Using Machine Learning Algorithm for Kick/Loss Detection and Safety Improvement at the Rig Site
Utilizing Digital Technology to Improve Drilling Operation Safety Performance
Febra Sakti Dewa
How Enhanced Reality Technology Reduces Human Errors Through Increased Operator Competency
Improved Data Management Process Through Use of DataLakehouse + DataFrabric + DataMesh
The use of standards to achieve effective data management in the oil and gas industry is a growing need. Integrating large volumes of data seamlessly and securely is an emerging challenge. The implementation of effective data aggregation model at the edge, even if it involves additional costs, allows significant improvement in the decision-making process.
In this session we will have a look at technologies supporting data management, edge analytics and challenges associated to data aggregation and quality assurance.
- Khaled Alterish, Aramco
- An Example of How Innovative Data Management Framework Improve Decision Making
- Jonathan Curtis, EnergyVue
- Multi Format Data Acquisition and Aggregation at the Edge
- Kriti Singh, Corva
- Human & Machine: Real Time Data Science in Well Construction
- Alexander Neber, SLB
- Effective Data Management - The Need for an Ecosystem
Wednesday, November 30
Meshal Al Mashari
Manager Digital Strategy
Investment & Growth Department
President, Energy Transition & Industrial Automation
Digital Drilling Group Leader
Chief Digital Officer for Oilfield Services
Chief Technology Advisor and Technology Fellow
Salem Al Gharbi
GM - Energy Sector
Within the context of the Impact of Digitalization on Drilling Operations, a selected panel of experts will discuss the Value of Digital Solutions for Drilling and Well Operations, including the expected deliverables, its impact on efficiency and resources management, and how to quantify its value.
From HSE, talent attraction and retention, and data-supported models to automatic workflows and automatic risk prevention and mitigation, our panel of experts will show the industry's vision and the solutions' current state.
Automated Hole Cleaning Monitoring using a Real-Time Cuttings Transport Modeling Algorithm
Xecta Digital Labs
Automation and Dynamic Digital Twin Concepts Boosting Well Construction Performance
Targeted Machine Learning for Early Warning and Prevention of Stuck Pipe, Tight Holes, Pack offs, Hole Cleaning Issues and other Potential Drilling Hazards
Nabil A. Al Riyami
Formation-related drilling troubles, such as well control, stuck pipe, wellbore instability, loss of circulation, uncertainties in picking formation tops, and pore pressure estimation, have been a limiting factor of hydrocarbon production in development fields resulting in 100s of rig days lost time. In this session, we will discuss how drilling automation is key to unlock the hydrocarbon potential. Case studies will demonstrate how the establishment of autonomous and intelligent advisory and control environment for continuous monitoring, analysing and predicting such drilling troubles will maximise value resulting in enhanced safety and production reliability. In addition, we will cover how real-time subsurface data can improve drilling efficiency and help optimise drilling performance. We will also discuss real-time engineering solutions which are based on the digital twin concept, these solutions perform drilling engineering calculations in real-time to predict potential drilling hazards.
- Abdullah Al-Dossary/Victor Oliveira, Aramco
- Innovative Approach of Autonomous Drilling Utilizing Rotary Steerable System in Drilling Wells
- Hany Gamal, Weatherford
- AI-Technologies Deployment through Drilling Operations: Innovative Approach & Case Studies
- Ahmed Abouzaid, Baker Hughes
- Well logs Prediction and Automated Real-Time Formation Evaluation Interpretation Using ML-AI
- Nasikul Islam, Halliburton
- Closing the Loop From Planning to Execution Using Collaboration and Engineering Solutions Using an End-to-End Platform
Digitizing OCTG Tracking from Pre-running Preparations to Post-running Data Analytics and its Impact on Onshore Drilling Operations, a Case Study
Cyril Blanpied and Ahmed Elkasrawi
Vallourec Middle East and ADNOC Onshore
Establishing the Interactive Bridge Between Well Planning and Drilling via Interactive Cloud-Based Solution
Ahmed Ali Alismail
Modern rigs are equipped with tens of sensing devices, these sensors are measuring primary physical states and transmit their readings to a data acquisition system, which then supplies these data to consuming applications. With recent advancements in data analytics solutions, the raw data collected from these sensors can be easily transformed into informative knowledge that can explain operations with great insights. Platforms to analyse such big data can provide endless values, including operation efficiency assessment, invisible lost time quantification, operational troubles prediction and avoidance and many others. Performance improvement in this context means reducing well costs by enhancing on bottom and flat time performance while keeping HSE as a priority. In this session, we will focus on real-time applications of data analytics to obtain novel knowledge which results in a significant operational improvement. Various success stories of applying data analytics to optimise drilling operations will be shared.
- Pradeep Ashok, Intellicess
- Case Study Based Guidance for Effective Deployment of AI Drilling Advisory Software at a Rig Site
- Patricia Zarate, Nabors
- Data Analytics and Artificial Intelligence Drive Real-Time Drilling Optimization
- David Millwee, Patterson-UTI
- Redefining Limits and Improved Rig Performance Through Automation
- Matt Regan, TDE Group
- Targeted Approach Utilizing Data Analytics to Drive Performance Improvement
MACS-G Solutions DMCC
Supply chain automation is utilising the advancement of digital technology in order to improve efficiencies, connect applications together and restructure processes
The value of measuring automation through supply chain management is very important and the drilling industry will directly benefit from having an automated supply chain. This will significantly minimise manual tasks, optimise cost efficiency, transparency and visibility of operations. Organisations are already implementing invoicing and payments through an automated system, which results in time saving, ability to access, track the documents easily, and reduce the steps of manual repeated tasks.
In this session we will discuss various aspects of automated supply chain management utilised by the drilling industry which includes asset tracking using RFID and computer vision, invoicing and payment automation, role of block chain supporting supply chain, cost optimisation and rig move process.
- Mohamed Marzouk, Data Gumbo
- Smart Contracts Automation Value
- Khairudin Kamar/Gaurav Khupsare, Arabian Drilling/MACS-G Solutions
- Achieving the 3Cs of Operational Excellence via Digital Asset Management – Compliance, Control, and Cost Optimization
- Miroslav Antonic, TDE Group
- Rig Move Optimization by Applying Visual Analytics and Event Detection Algorithms
- Abdulrahman Almulhim, Aramco
- Rig Schedule Optimization Using Artificial Intelligence and Machine Learning
At any given time, several service providers collaborate on the rig site to deliver well safely and on budget. Efficiency and quality of tasks performed on the rig site are inter-connected. Thus, it is important and common interest to have all collaborators do the best job they can. With the increase of drilling data acquisition, i.e. big data, and advanced data analytics, the utilisation of diverse data sources can help in obtaining new knowledge and find ways to improve operations. Throughout previous years, integrated data between independent organisations is limited and mostly non-digital. In this session industry experts will discuss digital collaboration enablers like cloud computing, automated design and reporting, data governance and security, and interoperability. Most importantly, we will discuss the challenges which limit such digital collaboration.
- Wael Akkad, NOV
- Digital Collaboration Enablers
- Keith Wildridge, Horizon56
- Unlocking Efficiency by Digitalization of Information Workflows Between Operators Plans and Offshore Drilling Operations
- Robello Samuel, Halliburton
- Modernization Journey in Drilling Operations: At Speed, At Scale, At Edge, in Real Time
- Waldemar Szemat, SLB
- Digital Well Construction Transformational Journey – A Case Study With Global Scope