These free informational and Q & A sessions, cover a wide range of topics on asset integrity management and regulatory ramifications for the oil and gas industry. The topics focus on multiple solutions that obtain quality data, which informs the best decisions, and planning capability for the near and long term. Select a region below to discover your customized sessions.

Join our free TECH TALKS series - regional sessions on technical topics.

Find out more information about the previous sessions of the Asia Pacific Region below.


3 June 2020, 10 am GMT

A typical pigging operation involves no fewer than five service suppliers. The key to a successful pigging operation, apart from the pigs, is the overall coordination and project management, more so if the pipelines and operating conditions are challenging and require complex arrangements between the different service suppliers. For more than 40 years in in-line inspection and pipeline integrity industry, ROSEN has developed methodologies to minimize the risks of a failed pigging operation, by bringing the full scope of work under one roof.

In this session, you will learn the challenges and solution on turnkey project – from the design of the pigs, to the rigorous testing, the supply of propellant, the temporary launching barrels, the pipeline modifications etc. as well as the overall project management. The risks at each step are minimized by having a single focal point, backed by a track record of successful projects around the globe.

Joe Sern Tan, Head of Business Line - Field Products & Services Asia Pacific, ROSEN Group
Olivier J. Dognon, Technical Solutions Specialist, ROSEN Group


10 June 2020, 10 am GMT

How to manage and ensure that tank inspection is performed the right way using the correct tool and method? A wrong decision can lead to disastrous outcomes, from a simple tank leak to major tank accidents. In this session, you will learn how to manage your tank inspection and control the outcome.

Muhammad Rudaini Ahmad Zaki, Technical Solutions Specialist, ROSEN Group


17 June 2020, 10 am GMT

In this session, we will share with you how ROSEN addresses challenges through applying the “ROSEN Toolbox” approach and using the operational expertise within the Challenging Pipeline Diagnostics Division.

Challenging pipelines are difficult pipelines to be inspected using off-the-shelf intelligent pigging solutions: a more detailed study is required for pipelines to be inspected.

We will cover three main points used to properly inspect challenging pipelines:

  • Technical Feasibility Study
  • ROSEN Toolbox Approach
  • ROSEN Preparations and Extensive Testing

Olivier J. Dognon, Technical Solutions Specialist, ROSEN Group
Frank Mueller, Technical Solutions Specialist, ROSEN Group


24 June 2020, 3 pm GMT

Pipeline cleaning is often undertaken to manage flow assurance issues such as corrosion, slugging, wax, sand, etc., which are present in the pipeline system. In addition, pigging offshore pipeline assets is becoming, in many cases, increasingly challenging with the development of more deep water applications, the use of exotic materials, and increasingly demanding operating conditions. This tech talk will demonstrate how ROSEN has successfully combined flow assurance analysis along with pigging feasibility studies in order to optimize pigging in very challenging onshore and offshore pigging applications. This integrated approach has shown significant benefit in quantifying risks, evaluating mitigation strategies, confirming pigging feasibility, developing optimized pigging campaigns, and preparing robust operational plans.

Ashwin Pinto, Senior Engineer, ROSEN Group
Paul Westwood, Senior Pigging Feasibility Engineer, ROSEN Group


1 July 2020, 10 am GMT

Achieving cost-effective risk management while maintaining compliance to local state and federal regulations being the ultimate goals for Oil & Gas and petrochemical operators. Managing process safety, environmental & business risk effectively are the key element that can be achieve through holistic asset integrity management not only for vessel & storage tanks but to the mechanical integrity of the piping system as well. Piping system failure or leakage could lead to significant impact on the business caused by production setback, calamitous effect on environment due to fluid released or even safety impact in case of explosion or fire.

The overall scale of piping systems, its process complexities, accessibility and level of inspection effectiveness are few known challenges in establishing strategy for piping integrity management program. These challenges amplified by the cost related to the inspection program and the diversity of inspection techniques available in the market.

In this session, we will share some of the good practices in order to help managers and engineers to make the right decision developing cost-effective piping inspection program and to achieve optimum level of inspection effectiveness based on 3 fundamentals below:

  • Assessment and identify the vulnerability of the threats (i.e. external corrosion)
  • Large scale “Screening” Technologies applied to identify areas of interest.
  • Specific NDE Technologies / Methods applied to Quantify Areas of Interest.

Rei Wizwan Abdullah Nawawi, Technical Solutions Specialist, ROSEN Group


8 July 2020, 3 pm GMT

‘Integrity Analytics' involves the application of techniques such as exploratory data analysis, data visualization, machine learning and computational probability to the everyday challenges of pipeline integrity management. By describing historical trends and creating predictive models, Integrity Analytics techniques can help us to use 'big data' more effectively in the pipeline industry.

Using a pilot data warehouse containing data for over 8,000 pipelines, it will be shown how Integrity Analytics can provide an alternative route to understanding the complex problems of corrosion, cracking, and a range of other pipeline threats.

Michael Smith, Senior Engineer & Data Scientist, ROSEN Group


15 July 2020, 10 am GMT

Pipelines can experience bending strain due to geohazards or other external loads. Excessive bending strains can result in severely deformed pipeline or result in failures at girth welds. Managing bending strains requires an understanding of where and how the loads impact a pipeline asset. This session will cover best practices used during the analysis of pipeline bending strains, and how to maximize the value of inertial mapping unit data collected during in-line inspections.

Soren Hauch, Head of Engineering, ROSEN Group
Yaresham Sayaa, Senior Engineer, ROSEN Group


22 July 2020, 3 pm GMT

Flexible pipeline systems are now widely used in the upstream oil and gas production sector, often as part of a strategic decision to reduce corrosion management costs associated with carbon steel pipelines. However, there are integrity management challenges associated with flexible systems that may be overlooked. Beginning with the basics of flexible design and installation, this session will provide insights into flexible integrity and risk assessment, and how to demonstrate life extension beyond the intended service life.

Andrew Burton, Principal Engineer, ROSEN Group



2020年10月14日,周三, 下午2点—4点半

ROSEN大中华区2020年度线上技术研讨会即将举行,会上将与您分享ROSEN在油气管道内检测技术领域的最新研发成果,并与各位业主和专家共同探讨油气管道资产完整性管理模式。 本次研讨会为针对主流业主和专家的定向邀请,期待您的参与。


  • 低压力管道检测技术
  • 流动保障技术
  • 弯曲应变评价技术


28 May 2021, 3 pm MYT

For decades, the pipeline industry has been collecting in-line inspection (ILI) data for pipelines all around the world, in addition to an abundance of historical data on design, construction, operations and environment. The availability of these datasets has led the industry naturally towards machine learning as a supporting technique for various integrity management activities. By observing trends from the past, we can better understand our current and future assets.

One particularly promising application of machine learning is condition prediction in pipelines that cannot be inspected using ILI. This is true for approximately 40% of the world’s pipelines.

Previous work by the authors has described how the current condition of an uninspected pipeline may be estimated using machine learning, with a specific focus on the threats of internal and external corrosion. Using machine-learning models trained on thousands of pipelines from around the world, the condition of an uninspected pipeline can be predicted with an accuracy that was previously unattainable with traditional techniques. Further work has focused on the prediction of future condition. By estimating deterioration rates for an uninspected pipeline, we can simulate its future state and begin to make more proactive decisions on repair, mitigation and future monitoring.

Herein, the authors build upon all previous work by proposing a complete health-monitoring framework for uninspected pipelines, again with corroded pipelines as the primary focus. The framework is exemplified and validated with case studies on real pipelines, thereby demonstrating the power of machine learning for integrity management decision support. It is furthermore proposed how the techniques could be extended to other threats, such as cracking and geometric defects.

This webinar is in collaboration with NACE Malaysia.

NACE Malaysia

Michael Smith, Peter Anderson, Andy Linsley, Jonathan Martin, ROSEN Group

Michael Smith, Chemical Engineer and Data Scientist, ROSEN Group
Michael Smith is a chartered Chemical Engineer with a Master's degree in Chemical Engineering from the University of Cambridge. Within ROSEN, he leads the development of new asset integrity technologies, with a specific focus on data science.