Midstream and Downstream Oil & Gas

The Industry Challenge

The CNG Optimum System, a compressed natural gas (CNG) containment carrier developed by Global Energy Ventures Ltd. (GEV), required approval from the American Bureau of Shipping (ABS) prior to commercial construction. This program was part of a larger project, which included the design of the ship on which the CNG Optimum System would be installed.  

As part of the CNG Optimum System approval process, testing was required to validate the fatigue resistance and burst...

C-FER uses Monte Carlo simulation and statistical models to consider the uncertainty in all of your data. Below is a basic implementation of Monte Carlo simulation used to evaluate the burst pressure of corrosion features.

Set the size and sizing accuracy of a corrosion feature and see how the simulated burst pressure distribution compares to the nominal deterministic value. You can also modify the burst pressure model and the number of simulations ran.

 

C-FER can leverage historical data to assist in identifying potential threats to your assets. Interactive, web-based visualizations allow you to make quick and meaningful insights based on your data or the results of C-FER’s assessments. The following visualization explores PHMSA Incident data.  Use the slider to adjust the charted year from 1968 to 2019. Incidents are categorized based on their product, type and cause. Significant shifts in the data can be seen over years with changing...

CSA Z662 is the Canadian standard for oil and gas pipeline systems, with Annex B specifically focusing on how to perform risk assessments for pipelines. Annex B is currently under review by the Risk Management Task Force and will likely be undergoing significant changes in 2023 to include more guidance on performing risk assessments and quantitative risk criteria for both natural gas and liquid pipelines.

Task Force Chair Maher Nessim, and Task Force work group leaders Mark Stephens of C-FER...

Management of circumferential cracks in pipelines has been a secondary concern to axial cracks, and integrity assessment techniques are not as mature as those available for axial cracks or those from other industries. In order to give industry members an opportunity to share their experiences and learn from other’s successes and failures, Mark Stephens of C-FER Technologies, together with Lyndon Lamborn of Enbridge and Elvis SanJuan of Riverol, will be leading a work group session on...

Reliability-based Limit State Design and assessment corrosion criteria have been developed as part of a joint industry project to optimize corrosion mitigation for vintage pipelines. The criteria is calibrated to meet specific reliability targets within a certain tolerance but does not require probabilistic calculations for application. Comparison of the criteria to the CSA Z662 and TransCanada’s in-house reliability-based criteria was undertaken to evaluate the performance of the criteria.  

Dr...

A leak detection evaluation framework for onshore transmission pipelines has been developed in conjunction with PHMSA. The framework is to be used by pipeline operators to evaluate and verify leak detection systems that operate external to the pipeline, specifically those with the ability to detect small leaks.

In addition to developing the framework, we have shown how the developed framework can be used through a demonstration exercise, which involved assessing the ability of candidate...

C-FER Technologies will be at the 2019 Banff Pipeline workshop. Booth information coming soon. 

A limit states design approach has been developed for geotechnical loads. The approach uses a strain based design format and requires the user to develop probability distributions for the maximum strain demand and minimum strain capacity.

Checks are provided for both local buckling and tensile rupture, which are calibrated to meet specified risk-consistent reliability targets. The safety factor and the criteria used to define the characteristic strain demand and capacity are defined as functions...

Quantitative risk analyses are used in the pipeline industry to identify high-risk locations and main contributing threats; to evaluate risk against an acceptance criterion; to evaluate changes in risk over time; to guide integrity management decisions; and to demonstrate regulatory compliance.

We developed for the U.S. Department of Transportation Pipeline and Hazardous Materials Safety Administration (PHMSA) guidelines for the development and application of pipeline quantitative risk analysis...