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.

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!

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Extreme heat is a killer. A recent heat wave shows how much more deadly it’s becoming трип скан Extreme heat is a killer and its impact is becoming far far deadlier as the human-caused climate crisis supercharges temperatures according to a new study which estimates global warming tripled the number of deaths in the recent European heat wave. For more than a week temperatures in many parts of Europe spiked above 100 degrees Fahrenheit. Tourist attractions closed wildfires ripped through several countries and people struggled to cope on a continent where air conditioning is rare. https://tripscan.xyz tripscan The outcome was deadly. Thousands of people are estimated to have lost their lives according to a first-of-its-kind rapid analysis study published Wednesday. A team of researchers led by Imperial College London and the London School of Hygiene and Tropical Medicine looked at 10 days of extreme heat between June 23 and July 2 across 12 European cities including London Paris Athens Madrid and Rome. They used historical weather data to calculate how intense the heat would have been if humans had not burned fossil fuels and warmed the world by 1.3 degrees Celsius. They found climate change made Europe’s heat wave 1 to 4 degrees Celsius 1.8 to 7.2 Fahrenheit hotter. The scientists then used research on the relationship between heat and daily deaths to estimate how many people lost their lives. They found approximately 2300 people died during ten days of heat across the 12 cities around 1500 more than would have died in a world without climate change. In other words global heating was responsible for 65 of the total death toll. “The results show how relatively small increases in the hottest temperatures can trigger huge surges in death” the study authors wrote. Heat has a particularly pernicious impact on people with underlying health conditions such as heart disease diabetes and respiratory problems. People over 65 years old were most affected accounting for 88 of the excess deaths according to the analysis. But heat can be deadly for anyone. Nearly 200 of the estimated deaths across the 12 cities were among those aged 20 to 65. Climate change was responsible for the vast majority of heat deaths in some cities. In Madrid it accounted for about 90 of estimated heat wave deaths the analysis found.

“AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’” <a href=https://tripscan.biz>tripscan войти</a> Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.” For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all. Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task. “Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained. https://tripscan.biz tripscan войти If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator. Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said. When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks. Why it’s hard to measure AI’s environmental impact Putting a number on the environmental impact of AI has proved challenging. The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models. That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said. Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption. “You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said. One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.

A nuclear fusion power plant prototype is already being built outside Boston. How long until unlimited clean energy is real? <a href=https://www.timt0ur.ru/170924/novosti-vasilenko-roman-poslednie-novosti/>жесткое групповое порно</a> In an unassuming industrial park 30 miles outside Boston, engineers are building a futuristic machine to replicate the energy of the stars. If all goes to plan, it could be the key to producing virtually unlimited, clean electricity in the United States in about a decade. The donut-shaped machine Commonwealth Fusion Systems is assembling to generate this energy is simultaneously the hottest and coldest place in the entire solar system, according to the scientists who are building it. It is inside that extreme environment in the so-called tokamak that they smash atoms together in 100-million-degree plasma. The nuclear fusion reaction is surrounded by a magnetic field more than 400,000 times more powerful than the Earth’s and chilled with cryogenic gases close to absolute zero. The fusion reaction — forcing two atoms to merge — is what creates the energy of the sun. It is the exact opposite of what the world knows now as “nuclear power” — a fission reaction that splits atoms. Nuclear fusion has far greater energy potential, with none of the safety concerns around radioactive waste. SPARC is the tokamak Commonwealth says could forever change how the world gets its energy, generating 10 million times more than coal or natural gas while producing no planet-warming pollution. Fuel for fusion is abundant, derived from deuterium, found in seawater, and tritium extracted from lithium. And unlike nuclear fission, there is no atomic waste involved. The biggest hurdle is building a machine powerful and precise enough to harness the molten, hard-to-tame plasma, while also overcoming the net-energy issue – getting more energy out than you put into it. “Basically, what everybody expects is when we build the next machine, we expect it to be a net-energy machine,” said Andrew Holland, CEO of the Fusion Industry Association, a trade group representing fusion companies around the globe. “The question is, how fast can you build that machine?” Commonwealth’s timeline is audacious: With over $2 billion raised in private capital, its goal is to build the world’s first fusion-fueled power plant by the early 2030s in Virginia. “It’s like a race with the planet,” said Brandon Sorbom, Commonwealth’s chief science officer. Commonwealth is racing to find a solution for global warming, Sorbom said, but it’s also trying to keep up with new power-hungry technologies like artificial intelligence. “This factory here is a 24/7 factory,” he said. “We’re acutely aware of it every minute of every hour of every day.”

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