API 2350 - Protection against overflow of storage tanks in petroleum installations

API 2350 is in its 4th edition, and the 5th is scheduled for next year. It is expected to clarify issues that generate interpretation doubts without major changes in procedures.

In API 2350, the levels of concern for the product inside the tank are defined. Are they:

The distance between the very high and critical level (h) must be calculated as a function of the action time for blocking the tank, before the product reaches the critical level. This distance should not be less than three inches.

The maximum operational level must be determined below and as close as possible to the very high level so that there is no loss of storage, however, external factors must be taken into account to avoid undue triggering of the very high level alarm, such as thermal expansion, turbulence and earthquakes.

API 2350 presents a method of protection against overflow using an AOPS (Automatic Overfill Prevention System), whose application can reduce the distance between the very high and critical level and, as a consequence, raise the height of the maximum operational level.

API 2350, up to its 3rd edition, recommended good practices for preventing overflow. In its 4th edition, API 2350 ceased to be a recommendation of good practices and became a standard.

In Brazil, API 2350 is a normative reference and is cited as an indispensable document for the application of the ABNT NBR 17505 standard, which specifies the requirements for the storage of combustible and flammable liquids, defined in ABNT NBR 17505-2:2015.

In addition to the ABNT standard, some units of the fire department, in the form of a Technical Instruction, which aims to establish the minimum requirements necessary for the preparation of a project and dimensioning of the fire safety measures required for production, storage, handling facilities and distribution of combustible and flammable liquids, signal the consultation to API 2350 regarding the means of preventing overfilling.

What is the impact for adequacy to API 2350?

When we deal with the subject, one of the first questions that the operation team asks is: to adapt to API 2350 will it be necessary to reduce the operational level of the tanks? And the answer is: it depends. The category to be applied for adequacy of API 2350 will depend on the existing instrumentation, operational procedures, process risk analysis, probability of failure on demand of instrumented systems, among other factors.

Once the category is defined, the terminal can decide to use a higher category, raising the maximum operational level of the tank, since the response time required for blocking the tank, in case of a very high alarm, will be reduced.

The opposite may also occur, and the maximum operating level must be reduced if the terminal is operating the tank in a category that is not compatible with the real response time for blocking the tank.

If the tank block response time is not calculated, API 2350 determines the minimum times by category as follows:

Category I – 45 minutes

Category II – 30 minutes

Category III – 15 minutes

AOPS

The AOPS (Automatic Overfill Prevention Systems) is intended for use on tanks classified in any of the three categories. The advantage of AOPS is the ability to perform receiving interruption through a final element, for example the tank inlet valve, without human intervention. AOPS is composed of 3 components: sensor element, logic solver and final element. The high-high level sensor must initiate a safety function in the logic solver, which will trigger the closing of the final element, ie the tank inlet valve, thus stopping the rise of the tank level.

It is important to highlight that this closing of the valve must have its time calculated to avoid breaking the inlet connected to the product dispatcher.

Automind signs contract for the implementation of Autoload® in three Petrobahia bases

The technical evaluation of the project started in July last year, with Automind as a participant, as well as other players national and international supply of automation systems for terminals.

The technical evaluation process was led by Ricardo Andrade, Petrobahia's PP&D Manager. “Since it is a large investment for Petrobahia, we dedicate the necessary time to a technical evaluation of the products on the market. We decided not to be in a hurry at this stage of the process, identifying in a quantitative and qualitative way the fulfillment of our requirements”, pointed out Ricardo Andrade.

“We knew that no product on the market would completely meet our expectations. It would be necessary to carry out customizations to comply with all the business rules demanded in our process meetings, however, it would not be economically viable to acquire a system of this nature. We were looking for consolidated solutions with a solid installed base. A product that met most of our requirements with native functionalities and that had the flexibility to perform customizations”, continued Ricardo Andrade.

The best solution was presented by Automind and culminated in the acquisition of Autoload® by Petrobahia, more specifically the scheduling, access control, queue control, loading and unloading, pump and inventory control modules, in addition to a customization package to meet ten specific business rules.

“The time dedicated by Petrobahia in the technical evaluation process contributed a lot to the clear definition of the scope to be offered. As the three bases were included in the evaluation process, meeting the requirements will allow all to have a single version of Autoload®, even with customizations, directly and positively impacting system implementation costs, which made our offer more competitive”, commented Automind's Business Director, Adriano Macário.

The Autoload Deployment Deadline® in the three bases it is 240 calendar days, with a forecast to end in December of this year.

Pipeline Leak Detection System

According to Bolonkin (2008), pipelines are, in general, the most economical way to transport large amounts of oil or natural gas over land. Compared to railways, this modal has a lower cost per unit and greater capacity. In addition, it works 24/7, except during maintenance. Interruptions that may affect the transportation period, such as weather or traffic, do not affect pipeline operation.

However, a significant disadvantage of using this type of transport is the possibility of leaks that may occur as a result of erosion, corrosion, landslides, acts of vandalism, actions of third parties, among others. Due to the high pressure at which the products are pumped and, depending on the type of substance transported, these leaks can cause serious environmental and socioeconomic damage.

With this in mind, oil and gas transportation companies are continually looking for more sensitive, accurate, repeatable, reliable and robust leak detection systems (SDVs). The American standard API 1149 defines these characteristics as follows:

There are several technologies for leak detection that have different advantages, disadvantages and levels of complexity. The API 1130 standard classifies these technologies into two types:

One system that currently protects more than 11,000 miles of pipeline around the world is the Synergi Pipeline Simulator (SPS), which combines Statefinder and Leakfinder modules. These modules are based on the represented states (variable conditions) of a pipeline system.

For the system to perform as expected, it is necessary to create a hydraulic model of the pipeline, provide real-time measurement data from SCADA, and also provide consistent fluid property data. Thus, through the field data and the fundamental laws of fluid mechanics, the model will track conditions very close to the real pipeline and investigate temporal anomalies between the measured data and the model.

One mechanism that the SPS uses to reconcile differences between measured and modeled head losses are diagnostic flows, which are flows injected or removed from the model to preserve the mass balance when there is a discrepancy. If average diagnostic flows exceed a predefined dynamic threshold, the software will:

There are 5 alarm statuses: (1) Starting (in case detection has been turned off), (2) Okay (there is no abnormality), (3) Circulation (indicates circulation has occurred), (4) Injection (indicates flow injection) and (5) Leak (indicates leakage). Statuses 3 and 4 normally indicate modeling or instrumentation problems, as they are very unusual events to occur in an operating pipeline.

It is important to note that, as stated in Annex A of API 1130, no CPM (Computational Pipeline Monitoring) methodology or technology is applicable to all pipelines, because each system has an exclusive configuration and operation. Furthermore, detection limits are difficult to quantify due to the unique characteristics presented by each pipeline. Boundaries must be determined and validated, system by system, and perhaps section by section. Pipeline operating conditions (steady state or transient) will influence the minimum size of product loss that can be detected so detection limits for CPMs are not fixed. During transients the detection limits are higher.

Another factor that must be highlighted is that efficiency objectives (sensitivity, accuracy, repeatability, reliability, availability and robustness) are often at odds with each other. For example, high sensitivity in leak detection generally leads to more false alarms and, consequently, lower reliability, so it is essential that tuning is carried out and monitored according to the main relevant points defined by the customer.