The producers of shale oil use artificial intelligence to increase production

From a dark control room in Houston, Raphael Guidis looked at a computer screen, a robot responsible for pits in an oil field in northern Dakota, which led to the exclusion of the human factor. The glowing red squares relieved when it took an artificial intelligence program to drive the remote drilling platform “Nabors Industries”, send satellite instructions and made direct immediate decisions to drill through rocks in the easiest way. Guidis, the company’s performance instruments manager, estimates that the program submitted by Corva will save the human operator about 5,000 during the well of the well and increase velocity by at least 30%. “All of this is automatic, the drilling instrument has to print anything,” Guidis says, referring to a green line on the screen that follows the underground rush. He continued, “Now you can provide spiritual abilities to use in something else.” The oil industry has always used artificial intelligence to support tasks, such as analyzing seismic surveys, with people continuing to perform hydraulic drill and break. But companies are increasingly using artificial intelligence, machine learning and distance operations faster, and suggests better ways to break hydraulically and predict the date of the failure of active Wells pumps. The purpose of this emerging technology is to reduce costs and to extract more oil from the land, which can threaten to undermine the efforts of the organization of oil exporting countries to combat global oil production and raise prices. “The shale’s extraction rate was 8%. If it is possible to improve, the yields will be great,” said Sobod Saxina, the first vice president of “Napors”. Improving efficiency to reduce costs, advanced artificial intelligence gets a foothold in oil fields, where drilling and producers are tirelessly focused on improving efficiency. Although this technology is considered under the experience around the world, the United States may be the most important place to follow. The Skalie oil ponds in Texas, North Dakota and other states have always been a laboratory to discover faster and cheaper oils, making the United States the largest producer in the world. The contractors were able to reduce one day of the two weeks for the past five years to dig a well, and three days of the 11 days needed for hydraulic crushing, according to the “Kimberly International Oilfield Research”. This happened through a wide mixture of new technologies and methods, such as digging horizontal wells up to 3 miles. Now artificial intelligence has emerged with greater profits. Improving efficiency is supposed to reduce costs. James West, an analyst at Evercore, expects companies to start promoting costs through artificial intelligence in the next few financial quarters, and explains that “there will be many cost savings, at least 10%, and it could be between 25% and 50% in specific scenarios.” The influence on jobs is still too early to know the potential effect of artificial intelligence on work, especially since it is still at the stage of distribution. But this technology can help companies overcome the lack of labor they have seen over the past year. Airswift Holdings, an employment business in the oil fields, showed the opening of employees of the energy sector around the world to artificial intelligence, as most of them said it could improve their satisfaction and productivity. The testing of this technology is not limited to rock formations, but is also tested in the marine oil fields. SLB, the world’s largest oil service supplier, announced in January that it automatically dug parts of five wells on the coast of Brazil, which accelerated the drilling time by 60%. Complete with the climate goals of Jesus Lamas, Head of the SLB pit, said that artificial intelligence will control 15% of all wells during the three years until the next five, as it is essential to lower the drill costs and also to help the industry achieve the goals of climate change. Although renewable energy supporters say that artificial intelligence can help integrate solar energy and wind energy into the electricity network, which has the dispensation of fossil fuels faster, oil and gas companies consider it a way to reduce the effects of global warming of their operations in a world that limit carbon emissions. Note that the most effective drilling means less energy consumption for each well. “We need to do something else … We need to lower the cost of the barrel, increase efficiency and lower carbon dioxide emissions per barrel,” Lamas said. The ability to predict errors at the same time helps artificial intelligence in the continuity of the current flow of wells. Halliburton and AIQ recently launched an artificial intelligence project known as ‘Robowell’ to help the ‘Abu Dhabi National Oil’ maintain the continuity of gas wells through automatic self -adjustments. Hilcorp Energy, one of the largest private oil and gas companies in the United States, believes that he can use machine leather to predict equipment in the equipment and thus prevent him from losing about half a billion cubic feet of gas production, Geologist Lisa Hilber. Other than that, it can take about a week for a worker to drive a truck to investigate all wells, looking for those who have stopped pumping. “We always want to work efficiently … The use of artificial intelligence and machine learning on the website, in the office, and eventually by analyzing the ground layers, has enabled us to maintain an ideal and very court power,” Hilber said at an industrial conference in Houston last month. Baker Hughes chief digital official James Brady said this predictive technology has installed only a few wells in the Bermean -Kom, but it will eventually expand and have a bigger impact. The third largest oil field services provider works to build artificial intelligence models to expect electric submersible pumps, which are used to maintain old stuffflow. For a specific customer in the Bermean, Baker Hughes can predict the failure of equipment within 30 days in about 65% of customers’ wells. The company aims to reach 70%and make more complete recommendations for the maintenance of pumps. “In the past few years, in this matter, we have got better and better … If you actually reach a more merged model using physics in addition to data science, you start getting higher prediction opportunities,” says Brady, a veteran expert for more than three decades in the oil industry. Applications for artificial intelligence remain the oversight of Wells, instead of digging it remotely, the most common use of artificial intelligence in oil fields has so far, according to “Kimberlys.” But there are other applications that appear. The emerging “Shearfrac” business uses artificial intelligence to break the Wells more efficiently. The company’s technology offers suggestions for hydraulic cracks on the website that then choose whether they will implement it or not. The proposals are sent to the Crew computer screens by a robot called “Sherry” – Siri (Siri), developed by “Apple” – and is announced via a soft sound signal on the “ping” tone. Sher Frak CEO Andrew McMouri said the company finally intended to provide hydraulic cracks in a more automatic way. William Fox, director of drilling in Houston, said the company “Corva”, which designs all shale oils in the United States for its artificial intelligence program, plans to move to South America over the next two years. He added that he was surprised by the ability of the US oil industry to improve his capabilities with the help of artificial intelligence. Fox said: “The shale oil is the laboratory for the exploration industry … which in this very competitive and enthusiastic market has been proven and adopted, if it succeeds in North America, it will work better in other places,” Fox said.