  {"id":16909,"date":"2016-11-17T23:55:30","date_gmt":"2016-11-18T04:55:30","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-rctom\/submission\/schlumberger-innovating-in-a-low-price-environment\/"},"modified":"2016-11-17T23:57:04","modified_gmt":"2016-11-18T04:57:04","slug":"schlumberger-innovating-in-a-low-price-environment","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-rctom\/submission\/schlumberger-innovating-in-a-low-price-environment\/","title":{"rendered":"Schlumberger: Innovating in a Low Price Environment"},"content":{"rendered":"<p><strong>Oil &amp; Gas: No longer a horse and carriage operation<\/strong><br \/>\nImagine you are an oilfield engineer and have just started logging a well on your client\u2019s rig that costs tens of thousands of dollars per hour to operate. Suddenly, your tool stops working downhole. You troubleshoot common issues without any luck. You don\u2019t have a backup tool with you in the field because there were none available when you loaded up for the job. With no other options at this point, you call into your local shop for a replacement tool to be sent to location, but you will have to wait many hours as the only tool available is coming from a different location. The company man comes by every thirty minutes to remind you that you\u2019ve wasted time and money. After the job, you run some maintenance tests and find out the tool had been ignored and not serviced for over a year.<\/p>\n<p>This is a common issue in oil field operations today. While there have been many technological improvements over the last century, upstream production still relies heavily on human labor and analog asset tracking tools, leaving room for inefficiencies in execution.<\/p>\n<p><figure id=\"attachment_16934\" aria-describedby=\"caption-attachment-16934\" style=\"width: 500px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/taft_barrels2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-16934 size-full\" src=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/taft_barrels2.jpg\" alt=\"In the early 1900's, operators realized that it was more efficient for mule teams to transport crude in large tanks rather than barrels [11].\" width=\"500\" height=\"244\" srcset=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/taft_barrels2.jpg 500w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/taft_barrels2-300x146.jpg 300w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/a><figcaption id=\"caption-attachment-16934\" class=\"wp-caption-text\">In the early 1900&#8217;s, operators realized that it was more efficient for mule teams to transport crude in large tanks rather than barrels [11].<\/figcaption><\/figure><figure id=\"attachment_16944\" aria-describedby=\"caption-attachment-16944\" style=\"width: 393px\" class=\"wp-caption alignright\"><a href=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/CHEVRON1-master1050-v2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-16944 \" src=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/CHEVRON1-master1050-v2.jpg\" alt=\"Kern River Oilfield in Bakersfield, CA today [1].\" width=\"393\" height=\"262\" srcset=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/CHEVRON1-master1050-v2.jpg 1050w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/CHEVRON1-master1050-v2-300x200.jpg 300w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/CHEVRON1-master1050-v2-768x512.jpg 768w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/CHEVRON1-master1050-v2-1024x683.jpg 1024w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/CHEVRON1-master1050-v2-600x400.jpg 600w\" sizes=\"auto, (max-width: 393px) 100vw, 393px\" \/><\/a><figcaption id=\"caption-attachment-16944\" class=\"wp-caption-text\">Kern River Oilfield in Bakersfield, CA today [1].<\/figcaption><\/figure>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>The Oil Slump: Need for Efficiency<\/strong><br \/>\nIn June 2014, Brent crude oil prices began to free fall from $113\/bbl to $28\/bbl two years later, and have been lingering in the $40-$50\/bbl range since [13]. This blow to the oil industry presented many challenges, including massive layoffs, price cuts for service companies, and the need for companies to trim operations costs across the board.<\/p>\n<p><strong>Schlumberger: A Tradition for Innovative Technology Development<\/strong><br \/>\nSchlumberger is an integrated oil services company that provides exploration and production services to operating companies (e.g. Chevron, Exxon, etc.). Since Schlumberger\u2019s inception in 1927, with pioneering wireline logging technology, the company has put innovation first. Recently, however, they have realized the new oil paradigm requires a company-wide operational transformation to reduce costs through increased labor and equipment utilization, improved asset management, and reduction of non-productive time for the client [3].<\/p>\n<p><strong>Keeping Track of Travelling Assets<\/strong><br \/>\nAs Schlumberger assessed its operations in the wake of the downturn, it considered where the greatest inefficiencies consistently appeared. They concluded that reduction in field capital equipment costs and integration of their decentralized tool management system would improve service delivery, while cutting costs.<\/p>\n<p>To do this, they needed to predict their tools\u2019 maintenance needs, history, and location. Thus, they developed software applications to monitor field equipment, and alert personnel when the equipment required maintenance or had an urgent issue. Schlumberger also centralized use of their asset tracking system, allowing greater flexibility to transfer tools around the globe to the districts with high job type variance (requiring a diverse range of tools), leading to reduced capital expenditures and higher tool utilization [3].<\/p>\n<p><strong>Spanners to Barcode Scanners: Training Field Personnel<\/strong><br \/>\nWhile tool reliability issues account for one quarter of Schlumberger\u2019s non-productive time, the core issue they need to address is reliability related to operational processes. Schlumberger has implemented strict procedural adherence policies for all checklists and standard work instructions. Schlumberger is also training all field crews to use digital tracking (barcodes &amp; RFID) to accurately measure key tool metrics (number of jobs deployed on, commission date, calibrations, failures, etc.) when they perform maintenance or jobs [3]. These methods help each district deliver higher service quality and ensure each task is performed correctly the first time, every time.<\/p>\n<p>Implementation of these digital technologies in the field, however, requires significant behavior change from all field crews. While this is an enormous undertaking, the downturn is the perfect time to implement these process changes due to reduced activity.<\/p>\n<p><strong>Oilfield Digital Technology: The Future<\/strong><\/p>\n<p><figure id=\"attachment_16974\" aria-describedby=\"caption-attachment-16974\" style=\"width: 306px\" class=\"wp-caption alignright\"><a href=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/remote-logging.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-16974 \" src=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/remote-logging.jpg\" alt=\"Remote logging engineer working from his office while operators, tools and truck are deployed on the job in the field [2].\" width=\"306\" height=\"208\" srcset=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/remote-logging.jpg 918w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/remote-logging-300x204.jpg 300w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/remote-logging-768x523.jpg 768w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/remote-logging-600x408.jpg 600w\" sizes=\"auto, (max-width: 306px) 100vw, 306px\" \/><\/a><figcaption id=\"caption-attachment-16974\" class=\"wp-caption-text\">Remote logging engineer working from his office while operators, tools and truck are deployed in the field [2].<\/figcaption><\/figure>Schlumberger has taken a few big steps towards a digital overhaul of their operational processes and asset management, but they have many more opportunities to further reduce costs. Schlumberger is currently working on remote logging and drilling operations\u2014a drone pilot model that eliminates high wage engineers from the field [2, 7]. While this program is in its early stages, it has shown some promising results that can contribute to efficiency and higher service quality.<\/p>\n<figure id=\"attachment_16970\" aria-describedby=\"caption-attachment-16970\" style=\"width: 307px\" class=\"wp-caption alignright\"><a href=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/parsable.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-16970 \" src=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/parsable.jpg\" alt=\"Example of maintenance workflow in Parsable mobile application [4].\" width=\"307\" height=\"324\" srcset=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/parsable.jpg 1093w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/parsable-284x300.jpg 284w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/parsable-768x810.jpg 768w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/parsable-971x1024.jpg 971w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/parsable-569x600.jpg 569w\" sizes=\"auto, (max-width: 307px) 100vw, 307px\" \/><\/a><figcaption id=\"caption-attachment-16970\" class=\"wp-caption-text\">Example of maintenance workflow in Parsable mobile application [4].<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p>A start up, Parsable, has developed a mobile application, allowing Schlumberger to publish all standard work instructions to field operators via mobile device [4]. As operators complete their work in the field or shop, they can track progress in real time. Management can then use data collected through the app to track, analyze and ultimately improve operations across multiple user groups and individual contributors [4].<\/p>\n<p>Schlumberger\u2019s response to the new low price environment requires a major overhaul of processes and technology, but they\u2019ll be ready to beat the competition if oil production ramps up soon.<\/p>\n<p><em>What other digital technologies do you think could improve Schlumberger\u2019s operations?<\/em><\/p>\n<p>Word Count: 798<\/p>\n<p><strong>Refer<\/strong><strong>ences<\/strong><br \/>\n[1] http:\/\/www.nytimes.com\/2014\/07\/08\/us\/california-drought-chevron-oil-field-water-irrigation.html.<br \/>\n[2] Schlumberger, \u201cRemote Monitoring Enables Critical Drilling Surveillance on Platform with Limited Space.\u201d 2014 http:\/\/www.slb.com\/~\/media\/Files\/geoservices\/case_studies\/gs_remote_mud_logging_interact_cs.pdf<br \/>\n[3] Schlumberger 2015 Annual Report; 2015 file:\/\/\/C:\/Users\/sonja\/Downloads\/SchlumbergerLimited2015AR.pdf<br \/>\n[4] https:\/\/www.parsable.com\/<br \/>\n[5] Choudry, Harsh, et. al., \u201cThe Next Frontier for Digital Technologies in Oil and Gas,\u201d Mckinsey &amp; Company: August 2016<br \/>\n[6] Whittaker, Phillip, et. al., \u201cKilling the Complexity Monster in E&amp;P: Eight Critical Actions for Upstream Oil and Gas Companies,\u201d Boston Consulting Group: January 13, 2015<br \/>\n[7] Ramakrishnan, Terizhandur S., et al. &#8220;Methods and apparatus for remote real time oil field management.&#8221; U.S. Patent No. 7,096,092. 22 Aug. 2006.<br \/>\n[8] Mahdavi, Mehrzad, P. P. Darukhanavala, and Donald Paul. &#8220;Bringing the Digital Oil Field to Production Operations.&#8221; Journal of Petroleum Technology61.11 (2009): 18-20.<br \/>\n[9] Feblowitz, Jill. &#8220;The big deal about big data in upstream oil and gas.&#8221; Paper &amp; presentation, IDC Energy Insights (2012).<br \/>\n[10] Crawford, Mark L., and Rick Morneau. &#8220;Accelerating Progress Toward Achieving Digital-Oilfield Workflow Efficiencies.&#8221; SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2010.<br \/>\n[11] http:\/\/www.sjvgeology.org\/old_stuff\/trucks\/taft_barrels2.jpg<br \/>\n[12] Jiang, Zhi-Qiang, Wen-Jie Xie, and Wei-Xing Zhou. &#8220;Testing the weak-form efficiency of the WTI crude oil futures market.&#8221; Physica A: Statistical Mechanics and its Applications 405 (2014): 235-244.<br \/>\n[13] Bloomberg Markets https:\/\/www.bloomberg.com\/quote\/CO1:COM ; Accessed November 13, 2016<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How one oil services company is leveraging digital technology to become a low cost, high quality service provider.<\/p>\n","protected":false},"author":2566,"featured_media":16910,"comment_status":"open","ping_status":"closed","template":"","categories":[408,1998,490,2396,157,163,2373],"class_list":["post-16909","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-asset-utilization","category-big-oil","category-cost-cutting","category-digital-technology","category-oil-and-gas","category-operations","category-process-improvement"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-rctom\/assignment\/digitization-challenge-2016\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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