{"id":18680,"date":"2016-11-18T15:30:26","date_gmt":"2016-11-18T20:30:26","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-rctom\/submission\/bp-and-oil-gas-embracing-digitization-out-of-necessity\/"},"modified":"2016-11-18T15:30:26","modified_gmt":"2016-11-18T20:30:26","slug":"bp-and-oil-gas-embracing-digitization-out-of-necessity","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-rctom\/submission\/bp-and-oil-gas-embracing-digitization-out-of-necessity\/","title":{"rendered":"BP and Oil & Gas: Embracing Digitization out of Necessity"},"content":{"rendered":"
Digitization is transforming the oil and gas industry, and in particular the upstream producers of oil and gas. Given the commodity price downturn that started in the second half of 2014 following large production increases from unconventional shale drilling in the U.S. (see Exhibit 1 for historical oil prices), the \u201cname of the game\u201d has shifted away from big production to better margins and increased efficiencies. While digitization is certainly nothing new, oil and gas operators have only recently started to truly embrace it, largely because they\u2019ve been forced to following the downturn in commodity prices. The rapid advancement of big data and predictive analytics is transforming a variety of aspects of the business and operating models for oil and gas exploration and production (\u201cE&P\u201d) companies.<\/p>\n
Exhibit 1: WTI Crude Oil Spot Price ($\/bbl)[1]<\/a><\/strong><\/p>\n For such a longstanding practice as oil and gas extraction, though, what exactly is a digital oilfield and how does it help? Technological and digital improvements have truly helped the industry in two main ways:<\/p>\n Exhibit 2 below shows some of the many applications and means of digitization across the oilfield value chain.<\/p>\n Exhibit 2: Digitizing the Future Oilfield[4]<\/a><\/strong><\/p>\n BP is just one example of an oil & gas E&P company that is embracing the opportunity for technological change within its business. The company has continued to update its operating model for new digitization opportunities in oil and gas. For example, about a year ago, the company announced that it has begun working with GE to connect 650 of its oil wells in a pilot project to test the potential of GE\u2019s Predix data gathering and analytics platform. This platform of digitization should enhance BP\u2019s business model, helping the company improve production, maximize cash flow, and ultimately boost shareholder returns. Engineers now have real-time access to operational data across its wells, allowing them to make more informed decisions on flow rates and well control, improving efficiency, preventing failures and minimizing downtime.[5]<\/a> GE estimates that operators can lose more than $3 million per week on a subsea well that is out of commission, so reduced downtimes should provide meaningful cost savings for the company.[6]<\/a><\/p>\n As a second example, BP has also made efforts to use mobility in its digitization, particularly for assets in remote or harsh operating regions, where monitoring and inspection is both time consuming and extremely costly. The company is deploying drones to inspect pipelines in remote areas of Alaska at a fraction of the cost of piloted helicopters. The drones send digital information and relevant, real-time data related to the pipeline integrity back to engineers on the ground, allowing them to make mission-critical decisions with a tablet computer.[7]<\/a>,[8]<\/a> <\/sup>Exhibit 3\u00a0below highlights some of the benefits of this technology.<\/p>\n Exhibit 3: UAV Data Collection Highlights[9]<\/a><\/strong><\/p>\n Overall, I think BP \u2013 and arguably the oil & gas industry as a whole \u2013 has done a good job of integrating digitization within its business and operating model over the recent years, particularly as it has been forced to with the recent correction in commodity prices. Examples such as the two above highlight how digital technologies are enabling the company to gather, manage and leverage real-time data streams to boost output, reduce costs and maximize cash flow. That said, the majority of BP\u2019s digitization efforts have focused on monitoring, anomaly detection and control in the recent past, and less so on prediction, where I believe that digitization can add the most value. Moving forward, I think BP should (and we can likely expect them to) focus on integrating digitization opportunities throughout the entire value chain, both within its monitoring needs but also within the decision-making and prediction opportunities that digitization presents.<\/p>\n (Word Count: 787 words)<\/p>\n ————————————————————————————————————-<\/p>\n [1]<\/a> http:\/\/www.eia.gov\/dnav\/pet\/pet_pri_spt_s1_d.htm<\/p>\n [2]<\/a> http:\/\/peakoil.com\/consumption\/why-digital-oil-fields-are-the-future-of-the-energy-industry<\/p>\n [3]<\/a> http:\/\/peakoil.com\/consumption\/why-digital-oil-fields-are-the-future-of-the-energy-industry<\/p>\n [4]<\/a> http:\/\/www.strategyand.pwc.com\/reports\/improving-oil-gas-efficiency-digital<\/p>\n [5]<\/a> http:\/\/blogs.wsj.com\/cio\/2016\/04\/25\/oil-and-gas-companies-turn-to-digital-technology-as-low-energy-prices-pressure-business\/<\/p>\n [6]<\/a> https:\/\/www.ge.com\/digital\/press-releases\/ge-industrial-software-to-boost-efficiency-across-bp-global-operations<\/p>\n [7]<\/a> https:\/\/www.accenture.com\/t20150523T022451__w__\/us-en\/_acnmedia\/Accenture\/Conversion-Assets\/DotCom\/Documents\/Global\/PDF\/Dualpub_1\/Accenture-Technology-Vision-Energy-Digital-Disruption-Oil-Gas.pdf<\/p>\n [8]<\/a> https:\/\/droneapps.co\/case-study-drones-oil-operations\/<\/p>\n
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