Worker Fatigue

Workforce Fatigue Management

It was around two years ago that Anita knew that she’d had enough. However, the ensuing two years had passed so quickly repeating the same task over and over again. 

So here she was again.

Anita is the workforce manager at a company which manages a large temporary, contracted, part time and/or casual workforce. They carry out a set of known tasks, some of which require qualifications, many of which don’t. In any given week, she will be juggling her Excel sheet and a phone to desperately contact replacements for people who call in sick that day while ensuring that any replacement doesn’t violate any of their strict fatigue requirements. 

Although fast paced, it’s not the type of fast paced that she had hoped for as most of it was trying to carry out tasks which can be easily automated. So why not automate?

The reality with Anita’s work is that it can be automated and there do exist tools which can do most of her job and actually make both her as well as her rostered employees’ lives better. Anita could spend less time manually carrying out error prone tasks and, simultaneously, her rostered employees could get the shifts they want – meaning less work for Anita having to offboard unhappy employees.

By automating the error prone and repetitive tasks, this would leave Anita more time to more accurately cost up rostering jobs, better manage her staff so the good people keep coming back and focus on more strategic aspects of rostering.

The dream state.

Biarri’s Workforce Fatigue Management Rostering Tool

Biarri’s Workforce rostering tool was built to solve problems exactly like Anita’s. It was designed for companies which have built their success off the back of flexible Excel sheets, however, have now outgrown them. The tool excels when the workforce has become too large or too variable and the rules too complex to efficiently allocate people to the required work in a way that keeps everyone happy.

This was a situation faced by one of Biarri’s partners, Field Mining Services. Their process was Excel driven like most companies in the region and required a lot of manual work and time intensive copy of data between spreadsheets. 

In addition, customer rules/regulations and reporting obligations were a major pain point, with countless hours spent working with Excel and Word to create reports manually. 

However, the real pain point arose when you had many users working in a single Excel spreadsheet causing significant errors and delays for the team who were trying to understand who made the change which broke everything.

These challenges triggered a roster to invoice overhaul which Biarri assisted to complete by configuring its workforce tool to make it optimally suited to FMS’ situation.

The team at Biarri were fantastic to work with. They really listened to the pain points of our business and delivered a fit solution.” – Field Mining Services

Workforce Fatigue Management Tool Capabilities

At its core Biarri’s Workforce tool is built to take the complexity out of rostering by allowing a powerful optimisation engine to do the high quality rostering for you. The engine automatically and dynamically creates compliant and desirable rosters. 

When creating the rosters, the engine takes into account fatigue and EBA requirements. The EBA and fatigue management capabilities are able to take into account things like enforced breaks after working certain periods depending on: 

  1. Location
  2. Type of work
  3. Time of work
  4. Length of work
  5. And more 

As well as many other similar rule types.

Biarri’s Workforce tool allows the bespoke configuration of a rich set of constraints suitable to any industry. When it comes to managing a highly flexible workforce (comprising many part timers, casuals and contractors), the engine can optimally look at options and do things like sharing employees across locations to improve flexibility. The benefits are:

  1. Smooth out demand, and the resulting work, to better distribute tasks to people who don’t have enough work to do in one location or too much in another
  2. Resolve skill mix requirements at a location where key skills are missing
  3. Reduce the amount of onboarding, hiring and redundancies of staff due to more flexible use of staff
  4. Create a better employee experience by creating the flexibility to cater to staff needs
  5. And more

The functional user interface allows the easy management of flexible and continually changing rosters for staff, for example, when employees call in sick.

As well as being capable of catering to complex work requirements, the tool employs modern web based technologies to integrate seamlessly via REST APIs into payroll and T&A tools. This means you can avoid complex integrations and replacements of existing tools. 

The Biarri Workforce Rostering Application integrates into any stack with predefined interfaces.

Typical Outcomes

So what are the benefits of using optimisation and automation to do your rostering? For customers like Field Mining Services it is:

  • Better workforce fatigue management
  • A complete understanding of the value chain from mine to port
  • Substantially increased compliance with site specific access rules including fatigue, D&As, and site specific qualifications.
  • Increased visibility of workforce fatigue across multiple job sites.
  • Significantly reduced overall administration effort
  • The ability to tackle the next phase of growth with certainty around one of the most challenging areas – staff and fatigue management
  • Transparency across all departments and a single source of truth.

In other industries we have also seen benefits with improved employee engagement and experience by being able to take into account employee preferences and desires and then automatically catering to these needs. This leads to employers becoming employers of choice and staff bringing their experience and good habits back to your organisation instead of another casual staff provider. 

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Agribusiness Optimisation Solutions

Maths and Machine Learning for Agribusinesses

Mathematics powered by computers is changing the world we live in. At Biarri we see this everywhere, across every industry, and I’m sure you do too. Recently we have delivered a number of Machine Learning and Mathematical Optimisation solutions for Agriculture businesses in Australia and were fortunate enough to be invited to speak at the recent Case IH agri-business conference in Mackay.

Ash Nelson, Biarri’s co-founder, presented on Maths and Predictive Analytics for better business decisions. He described how our everyday lives are being changed by corporations leveraging large data sets, advanced statistical analysis and powerful computing resources. Ash then outlined how these same set of technologies can be utilised to improve business decisions in agriculture. This includes optimising agricultural supply chains and port operations, reducing unplanned equipment failures by using intelligent predictive maintenance algorithms or to improve health and safety outcomes for farm workers by better identifying areas of best practice to inform injury prevention initiatives.

Are you interested in leveraging your data using advanced maths to make better business decisions? Don’t hesitate to get in touch with our friendly team.

Healthcare Solutions Thumbnail

The Biarri Score: Predictive Analytics for better integrated healthcare

Many Health and Hospital services around the world have introduced integrated care activities to coordinate Primary (Community and GPs) and Secondary (Hospitals) care levels in order to increase the effectiveness of care being provided at all levels. 

Biarri delivered a predictive data analytics solution which successfully identified hospital patients in the community who were most likely to readmit to hospitals. Statistical analysis proved the Biarri Solution is able to identify the top 1% of the population at risk of hospitalisation with 90% accuracy.

In January 2018, Ron Calvert, the CEO of Gold Coast Health and Hospital Services (GCHHS) was in the news recognising Biarri’s predictive analytics in the form of a ‘Biarri Score’, which predicts an individual’s likelihood of readmission to hospital with ‘remarkable levels of accuracy’. Check out the article here.

The Biarri Score is now in place in the Gold Coast University Hospital emergency department. Also, patient criticality scores are integrated into local GP practices to provide intra-facility collaboration of healthcare services and prevent unnecessary admissions.

This application of Commercial Mathematics has resulted in increasingly better identification of patient who are likely to readmit, in order to improve the effectiveness of the Integrated Care activities and reduce demand on emergency departments.

 

Get in touch to learn more about Biarri’s Predictive Analytics capability or to learn more about applicaitons of Commercial Mathematics in other areas!

Optimization to deliver efficient locomotive planning at KCS

Optimisation to deliver efficient locomotive planning at KCS

CHICAGO, UNITED STATES – FEBRUARY 2018 – Biarri Rail, a global provider of planning and scheduling software for freight railroads is pleased to announce a new contract with The Kansas City Southern Railway Company (KCS). The contract will see Biarri Rail deliver its cloud based locomotive master planning software — Boss MP Loco. The software will enable KCS to quickly plan and optimize locomotives, leading to improved efficiencies and utilization of critical railway assets.

Mike Walczak, KCS vice president strategic operational planning said, “We engaged Biarri Rail to perform a Proof-of-Concept using the Boss MP Loco software and this clearly demonstrated that we could use the software package to identify potential fleet efficiencies and help make strategic decisions on the deployment and positioning of our locomotive fleet.”

“For example, we were able to run multiple scenarios examining how many of our fleet could be equipped for Positive Train Control (-PTC) based on how and where we may choose to assign power on our cross-border trains that operate in both the US and Mexico.Our current locomotive planning tools do not provide optimization or “what if” capabilities to deliver the most efficient plan.”

“The Biarri Rail software has an intuitive user interface and powerful optimization algorithms, which will provide a step change in our planning capability. Based on the successful outcome of the Proof-of-Concept we are now implementing Boss MP Loco into our planning environment.”

Tom Forbes, Biarri Rail CEO said, “We are excited to be working with the team at KCS to drive this innovation with them. Boss is a new concept in railroad planning and scheduling software as it brings man and machine together; excellent algorithms, and simple user interfaces, that deliver real world results.

“This contract with KCS combined with the recently announced contract with TasRail in Australia really speaks to the flexibility of the Boss platform to provide value for railroads of differing sizes and types.”

About Biarri Rail:

Biarri Rail is a global leader in planning and scheduling software for Railroads and Rail Shippers. Through automation and optimization technologies Biarri Rail works to improve service delivery and reduce costs through the smarter utilization of critical resources.

Boss is a cloud-based platform for scalable Railroad and Rail Shipper planning, scheduling and operations software. Boss provides integrated planning across resources including train services, locomotives, railcars, yards and crew.

About Kansas City Southern:

Headquartered in Kansas City, Mo., Kansas City Southern (NYSE: KSU) is a transportation holding company that has railroad investments in the U.S., Mexico and Panama. Its primary U.S. holding is The Kansas City Southern Railway Company, serving the central and south central U.S. Its international holdings include Kansas City Southern de Mexico, S.A. de C.V., serving northeastern and central Mexico and the port cities of Lázaro Cárdenas, Tampico and Veracruz, and a 50 percent interest in Panama Canal Railway Company, providing ocean-to-ocean freight and passenger service along the Panama Canal. Kansas City Southern’s North American rail holdings and strategic alliances are primary components of a railway network linking the commercial and industrial centers of the U.S., Mexico and Canada.

Biarri -Hospital and Health Services

Trimming away hospital costs: A bi-product of saving lives with statistics

Healthcare service delivery in most systems can be described as fragmented at best. In many healthcare systems, there has been very little continuity of care and integration for services provided by General Practices (GP), Hospital and Health Services (HHS) and other healthcare providers. Integrated Care is a worldwide trend in healthcare reforms that focuses on co-ordinating these different services.

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Biarri FIFO Management

Grounding the complexity to Fly in Fly Out management

Being able to close the labour and skill gap is a critical factor in sustaining growth and maximising profitability for remote operations. It is imperative that companies have the tools and skills available to unravel the complexity to FIFO management.

FIFO workforces are commonly used by large infrastructure and resource projects in remote regions including rural and offshore. These regions often don’t have adequate infrastructure or an available local workforce with the right skillset which leads to companies requiring the use of workers from interstate and sometimes overseas.

The FIFO problem is complex for many companies. It involves determining efficient ways to move people via aircraft, taking into consideration: multiple projects at various phases over multiple locations, with a dynamic workforce utilising different skillsets on a variety of roster patterns, as well as using a fleet consisting of different types and numbers of aircraft.

Often the goal with FIFO management is to determine the number, and type, of aircraft needed in order to minimise cost whilst working with the opposing objectives of ensuring: the staff arrive before the start of their shift (but not too early), depart after the end of their shift (but not too late) and keeping travel durations to acceptable lengths (to ensure low fatigue).

Balancing FIFO Complexity

Analytics to break through the complexity

With this level of complexity, a traditional excel approach lacks the rigour and power to find the most efficient and effective results. As a result we’ve developed a number of different FIFO optimisers at Biarri to help ensure the best outcome for clients.

The reality is that there are often many more factors that need to be considered which complicates the problem further. Each FIFO optimisation problem often turns out to be quite different once the detail of the problem is better understood.

High Level FIFO Requirements

Some companies just want us to help them “define their fleet, or travel requirements” so they can then go out to tender (it also helps to keep the vendors honest), others actually want an operational tool. Others may be looking to see if there is a business case for upgrading an airport (e.g. if the airport is upgraded, then larger aircraft can be used which can reduce the need for bus in bus out (BIBO) which will alter their risk profile due to road km and can dramatically alter travel durations).

Specific FIFO requirements

Our clients often want different levels of detail in the solution. Some are happy with a solution that ensures adequate movements at the week level (e.g. 15 flights of aircraft type A between locations B and C per week), others want very detailed minute by minute schedules which take into account: turnaround time, time between takeoff and landing, number of aircraft gates with solutions showing exactly who is travelling on which flight and aircraft and when.

Across Multiple Projects

Our clients have also had multiple projects which are often on the go at the same time and sometimes different priorities are given to different projects. These priorities can be used to ensure that if all the people movement demands can’t be met, then the lower priority movements are less likely to be satisfied.

Optimising the time horizon

The optimisation time horizon can also vary significantly with some clients optimising over a 24 hour period (or even less if they want to re-optimise in the middle of the day due to unpredictable events such as delays due to weather) through to clients wanting higher level schedules over several years to help them make strategic decisions and determine how their fleet needs to change over time.

Understanding the constraints

Constraints such as: the maximum distance an aircraft can travel before needing to refuel, maintenance schedules and the refuelling locations themselves often also need to be considered. We’ve dealt with both fixed and rotary wing (helicopters) aircraft. Helicopters have the additional complication of sometimes having to take more fuel (and thus weight) to travel further, which results in the reduction of passengers because of the helicopter’s limited total payload capacity.

Finding the right FIFO parameters

We have outlined some of the parameters that our FIFO optimisers have considered. It is by no means comprehensive and we can always include new parameters if a different problem requires them but it gives a good understanding into the different variables that can, and should be considered.

Some of the typical inputs include:

  • Location
  • Hours of operation
  • Refuelling capability
  • Refuelling duration
  • Availability (i.e. you can specify a start and end date for which the airport is available)

  • Serial number
  • Category (e.g. fixed wing or rotary wing)
  • Type (e.g. DASH 8-200)
  • Average speed
  • Passenger seats
  • Maximum payload
  • Fuel density
  • Fuel tank capacity
  • Re-fuelling time
  • Fuel burn rate
  • Base location
  • Availability (i.e. you can specify a start and end date for which the aircraft is available)
  • Costs

  • From location
  • To Location
  • Distance
  • Aircraft types able to fly this leg

  • Origin
  • Destination
  • Project
  • Number of passengers
  • From Date
  • To Date
  • Arrive Before (i.e. must arrive on their first working day of the roster by this time)
  • Depart After (i.e. must depart after this time on the last working day of the roster)
  • Roster Pattern (e.g. 14:14 = 14 days on, 14 days off)
  • Day of week (i.e. which day of the week can this person travel)
  • Group (demands can be grouped together to allow the user to specify which demands can be grouped on the same aircraft)

Some of the typical outputs include:

  • Total flights
  • Total distance flown
  • Total fuel burned
  • Total number of aircraft required
  • Utilisation Percentage
  • Total unused pax capacity
  • Total passenger demand
  • Total passenger demand satisfied

  • Serial number
  • Date
  • Total pax
  • Total hours flown
  • Total distance flown
  • Total fuel burned
  • Total flights
  • Total legs
  • Cost

  • Flight ID
  • Resource ID
  • Pax capacity
  • Available pax capacity (this is < pax capacity if the fuel weight is a limiting factor)
  • Total used pax
  • Utilisation Percentage
  • Departure location
  • Departure date and time
  • Arrival location
  • Arrival date and time
  • Day of week
  • Total distance
  • Total hours flown
  • Total fuel burned
  • Fuel weight at start of leg
  • Refuel at destination (true or false)
  • Turn around time
  • Cost

  • Flight ID
  • Origin
  • Departure date and time
  • Destination
  • Arrival date and time
  • Project
  • Pax

  • Project name
  • Total demand
  • Total satisfied demand
  • Total unsatisfied demand (e.g. this will be non zero if there is not enough capacity to transport demand)
  • Total impossible to satisfy demand (e.g. this will be non zero if a flight path has not been specified in the inputs that results in some demand being impossible to satisfy regardless of aircraft resources available)

  • Flight ID
  • Number of instances (i.e. how many times is this flight route flown at the same time – but on different dates)
  • Resource
  • Date of first flight
  • Date of last flight
  • Day of week
  • Departure time
  • Arrival time
  • Total people
  • Total distance
  • Total hours flown
  • Total fuel burned

Unravel the complexity to FIFO Management

The work we have done for companies such as Arrow, Origin, QGC, BMA, IBS, and Santos has shown us that despite having FIFO problems, they all required different approaches in order to achieve the right result.

This has demonstrated to us that when approaching a FIFO problem, where so many different variables have to be considered depending on the client, a standard approach (Commercial off the shelf product) and excel models will generally struggle with the complexity.

Having a tool built around specific variables demonstrates the benefits to bespoke solutions for FIFO problems.

Find out more about Biarri in Mining >>
Find out more about Biarri in Oil & Gas >>
Find out more about Biarri and FIFO Scheduling >>

Or, Get in contact so we can discuss your requirements.

People Logistics in oil and gas

The role of people logistics in oil and gas projects

Efficient and effective logistics is vital to large Oil & Gas projects – equipment must be transported to work sites and raw products need to be processed and then delivered to customers, often using multiple modes of transport in a complex supply chain. In addition to this complexity, another important part of the overall logistics problem is people logistics – How do we move personnel to and from a worksite both safely and efficiently?

Why should I invest in personnel?

Particularly in Australia, where many work sites exist in remote areas, it is not always feasible to relocate employees and their families to a town near the work site. As a result, many workforce personnel are employed on a fly-in fly-out (FIFO) or bus-in bus-out (BIBO) basis, where the employer is responsible for moving personnel to and from the work site.

A 2013 report from Ernst & Young indicated that human capital deficit is one of the top ten risks facing the global Oil & Gas industry, affirming that

as the sector develops technologically . . . companies that can retain and mobilize people will be able to sustain their competitive advantage.

Effective and efficient personnel mobilization is crucial to any significant oil and gas project. Research published in 2012 by the Australian Centre of Excellence for Local Government (ACELG) into the prevalence of FIFO in Australia predicts that percentage of Australian mining sector jobs filled by FIFO roles will only increase over the coming years.

Improper workforce utilisation increases susceptibility to many internal and external issues, such as: a high employee turnover, high ongoing operational costs to the business, and under- or over-allocation of staff to specific jobs.

Analytics to cut through complexity

People logistics for a large project requires the coordination of travel and accommodation for hundreds, sometimes thousands of people in various remote locations. As with traditional logistics, several crucial decisions have to be made including BIBO vs FIFO, choice of airports or bus routes and staff roster schedules. In addition to this complexity, working with personnel often requires much greater scrutiny – we don’t always require a minimal-cost solution – we need to balance cost, project risk, employee safety and employee satisfaction.

Trying to weigh up all these variables and make decisions in an intelligent way for all of the personnel involved in a project very quickly becomes complex. A 2014 interview by Mining Australia notes that “for many companies [workforce management] is man­ual, or only semi-automated, which increases the risk of error or processing in­efficiencies, increasing costs”. Managing a large workforce is difficult, and only with the right technology can companies provide efficient and effective workforce management.

Through analytics companies can cut through the complexity involved in workforce management. By considering specific variables and how they affect outcomes companies can make better decisions.

Analytics empowers organisations through quantitative justification so that decision makers can be certain that employees will be spending less time in transit, and working on the right jobs at the right times, with the right people.

Biarri and People Logistics

Biarri delivers consulting and SaaS solutions to provide the right technology to enable effective workforce management.

Biarri has a proven track record, delivering people logistics and FIFO solutions for Oil & Gas and Mining companies in Australia including Santos, BMA, and Arrow Energy.

To learn more about how Biarri can help your organisation benefit from analytics and optimisation for people logistics get in touch today!

Biarri and Savanna Energy

A modern approach to oil and gas logistical operations

Time is money in the drilling business. With the cost of drilling conventional and unconventional gas wells rising into the millions of dollars, reducing downtime and expediting setup time are critical to all stakeholders.

Biarri recently worked with the Australian division of Savanna Energy – a subsidiary of the Savanna Group, a premiere North American energy services provider headquartered in Calgary, Alberta. Savanna Energy came in contact with Biarri through a referral from an existing client who recognised that Biarri offered a range of capabilities that could help solve Savanna’s unique supply chain and logistics problem.

Biarri built a cloud based Transport Request Tool that facilitates the movement of equipment and resources required by oil and gas well sites.The tool deals with Savanna’s challenge of maintaining satisfaction with the various Coal Seam Gas (CSG) proponents by effectively, and efficiently managing their communication.

Biarri and Savanna Energy - Audit Log

Tzara Ayton, Biarri Project Manager and Core Developer explained,

“The initial goal of the project was to develop a tool that would take Savanna’s existing fleet requirements and find the best way to automate the allocation process. However, it was quickly discovered that Savanna required a modern, operational tool that would make their day to day operations easier, and act as a platform to collect clean data so that Biarri could build an optimisation solution. As it turns out, Biarri was suited for this problem as we have strong capabilities in not only smart strategic systems, but intuitive and powerful operational tools.”

Stephen Baily, Transport Manager at Savanna Energy said,

“Biarri built an efficient system for the computerized booking of transport movements for Savanna Energy. The software delivered to us is an extremely workable, efficient and user-friendly product.

The new approach has allowed us to reduce man hours and gives us a quicker turn around on job tasks. It also allows us to track our vehicles and kilometres travelled at the click of a mouse.”

 

“We wanted to ensure that the implementation of a new Transport Request Tool added greater visibility, improved coordination between field services and supply, enhanced responsiveness and added rigour to standard operating procedures”

said Ash Guy, Design Lead and Core Developer.

Savanna had a clear focus on ensuring the Transport Request Tool was customised to their particular requirements and met stringent use criteria. It was important that any changes to systems or processes were accepted by Savanna staff. As result, all of the new interfaces were collaboratively designed to be consistent with formats that Savanna Planners were already familiar with.

Savanna’s old excel spreadsheets were replaced by an interactive gantt chart which displays truck assignments, and their designated driver. This process happens in real time. The visibility has been enhanced allowing the Senior Pusher to see across his entire fleet, identify what has been assigned and what hasn’t. It also feeds back validation information helping to prevent assignment of the same driver to two vehicles at the same time, overlapping jobs on the same vehicle and vehicle assignments going outside of the requested time bounds.

The new Transport Request Tool allows Savanna to track any changes made to each individual transport request. This is particularly relevant when last minute changes require hiring extra trucks to satisfy urgent demand. The improved level of granularity delivered within the tool means that Savanna can identify where last minute changes were made and charge an appropriate service premium.

Management also benefit from the improved visibility. It gives them a ‘birds-eye-view’ of what is going on everywhere within the supply chain. Risk is also better managed through an audit log which allows traceability across any changes that have been made with each request. This was a significant enhancement for Savanna who can now better track what was ordered when and determine the specific costs arising from last minute changes to the plan.

Biarri and Savanna Energy

Tom Forbes Chief Executive Officer at Biarri stated,

“Having a tool that facilitates accurate and consistent communication across all key logistical stakeholders is key in any business situation. Not only does the tool provide direct benefits to Savanna but it also produces clean, reliable data, so that we can find even more cost and efficiency savings within their business processes through value added optimisation.”

Savanna Energy now has access to files via the cloud ensuring far greater communication. The Transport Request Tool forms the core of the scheduling process and is a central resource across the organisation catering for all key stakeholders.

Stephen Baily said,

“My colleague and I worked closely with the Biarri team and they were able to tailor the tool to meet our specific requirements. They also allowed us to easily troubleshoot any obstacles that were presented. In all, a very professional and well-engineered product.”

If you wanted to find out more about how Biarri can help across your oil and gas operations, or how we can deliver savings across your entire oil and gas project, get in touch today! 

 

Oil and Gas Solutions

Intelligent Energy Logistics on the World Stage

At the end of last year Ash Nelson (Biarri Co-Founder) and Tzara Ayton (Biarri, Senior Optimisaiton Consultant), two of Biarri’s Oil and Gas specialists, attended the DHL Global Energy Conference at the Petroleum Club in Houston. The theme was Intelligent Energy Logistics.

Together with Jonathon Shortis (DHL VP Energy – EMEA), Ash was invited to present on Data Management across End to End Supply Chains and participate in the associated panel discussion.

Ash’s presentation focused on the benefits improved data management and analysis can play in Energy Supply Chain design and operation. This was an opportunity to showcase the proven solutions Biarri has provided in the On-Shore Coal Seam Gas industry in Queensland over the past 5 years and also demonstrate the important impact analytics is having in modern oil and gas operations.

The discussion included:

  • Pre FEED/FEED analysis and design to support investment decisions and supply chain design including demand definition, optimised facility sizing and location, transport planning and people logistics requirements
  • Operational Management using tactical data management to deliver better day to day decision making. An example of this is the Biarri Capital Project Freight Portal which is used to allocate transport and sequence, track, co-ordinate and record the movement of Free Issue Material to infield construction programs.

IT’S GREAT TO SEE THAT OIL AND GAS COMPANIES AROUND THE WORLD ARE INNOVATING THROUGH THE POWER OF MATHEMATICS AND INTELLIGENT ENERGY DESIGN.

BEING ABLE TO JUSTIFY YOUR DECISIONS THROUGH SMART SYSTEMS AND QUANTITATIVE ANALYSIS IS CRITICAL IN MODERN OIL AND GAS OPERATIONS.

Ash Nelson, Biarri Co Founder.

If you would like to find out more information on how Biarri can improve the efficiency of your Oil and Gas operation, Get in touch;

or Contact Sam Rowse, Chief Sales Officer:
Mobile:0458 004 220
Email: sam.rowse@biarri.com

Driving efficiency in the Oil and Gas industry

Driving efficiency in the Oil and Gas industry

The oil and gas industry has been under severe pressure since late 2014 when oil prices dropped significantly. The highly volatile international market and oversupply of oil has meant companies have had to reduce costs in one way shape or form.

Bill Kroger, co-chair of law firm Baker Botts told Rigzone in an interview that, “Energy companies may need to lower their prices in response to a drop in demand …. For this reason, we may see CAPEX [capital expenditures] begin to decline until there is some stability with oil prices,”

This has been evident in Australia where many oil and gas companies have reduced capital spending significantly. However, with a lot of oil and gas projects shifting towards the operational phase, how can we make processes and decisions more efficient and effective?

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