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Solutions
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BUCKLE UP
Counterpoint Research estimated the storage capacity requirement for autonomous vehicles to balloon over 2TB in the next decade
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Innovations
ZONED STORAGE
Addresses data center scale with increased capacity, better QoS with lower TCO
Solution Data and Oil & Gas: Drilling for Future Opportunities
DATA AS A RESOURCE
Data is the Oil & Gas Industry’s Most Valuable Resource
The oil and gas industry is at the forefront of exciting times given technological advances in how data is captured and leveraged for oil exploration and production. The industry has a long history of collecting sensor data from sub-surface oil wells to monitor assets, and can now leverage big data applications to analyze seismic, drilling and/or production data. The result is new and actionable insights that create revenue opportunities, increase drilling and production performance, improve operational efficiencies, and reduce safety or environmental concerns.
Finding and producing hydrocarbons is a process that generates large datasets, requiring new storage technologies that interpret the data faster and with better and more accurate insights.
10TB Daily
Data volumes are now exceeding 10TB of data per day for a single oil well1
80,000 Sensors
Modern offshore drilling platforms have approximately 80,000 sensors, which are expected to generate 15PB of data during the life of the asset2
Shawn Rogers, TIBCO's senior director of analytic strategy, argues that there is no reason for a company to invest in IIoT technology without a plan to connect it to an analytics platform. ‘Simply collecting data has no inherent value’, Rogers said.
SOURCE: EDGE COMPUTING COMES TO THE OIL AND GAS INDUSTRY BY SIDNEY HILL, JR. (OIL & GAS ENGINEERING, 2/1/18)
HOW TO TRANSFORM DATA INTO ACTION
Transforming Data for Real-Time Decision Making
In order for the oil and gas industry to fully realize the potential of data collected and make decisions more quickly, they must have the ability to capture, access, preserve, and transform it from both the edge and within the core. As such, petroleum companies are investing in storage solutions that capitalize on big data analysis to find new revenue opportunities, improve operational efficiencies, reduce costs, and provide competitive differentiation.
ADVANCING OIL & GAS THROUGH DATA ANALYSIS
Western Digital Advances the Oil & Gas Industry with a Comprehensive Portfolio of Products that Capture and Transform Data into Actionable Insights and New Revenue Opportunities
Big Data Repository
BIG DATA REPOSITORY
Leveraging Data To Identify Profitable Drilling Sites
Conflict and political issues make updating seismic information challenging, while regulations and increasing demand drive organization to focus on unconventional sources, like shale and oil sands. To meet these challenges, exploration firms are leveraging their data assets to compare historical data with updated versions to improve overall productivity and efficiency.
Geophysical and earth modeling files are huge, making analyzing, sharing, and preserving the data expensive. Forward looking organizations are leveraging a hybrid cloud storage solution to cost-effectively keep all their data online for real-time collaboration across teams working to identify profitable drilling sites.
40,000
Feet below the earth’s surface
Distance to the world’s deepest oil well3
99.2
Million barrels per day
Global projected oil consumption in 20184.
REAL-TIME ACCESS TO SPEED DISCOVERY
Object storage solutions provide the foundation for efficiently storing all your historical and new exploration data online, making it easy to share data across geo-distributed teams. When considering storage for a global shared repository, Ultrastar platforms can ben configured with distributed file systems to offer the scalability, durability, and accessibility at a cost that rivals tape.
Gain Control of Data Overload in High-Performance Computing
Making it possible for researchers and engineers to transform vast amounts of data into insights that deliver better, faster results with HPC environments..
Iot Data Lake
IOT DATA LAKE
Predicting and Preventing Failures with IoT
The oil and gas industry was an early adopter of the Internet of Things (IoT), combining IoT, machine learning (ML) and the cloud to monitor oil wells in challenging areas. Sensors deployed on various equipment send data back to a central IoT data lake where analytics are run to help predict equipment failures, track performance in real time, and help refine designs and processes to prevent future failures. Preventing failures can mean saving millions of dollars.
Digital transformation for oil and gas companies requires a hybrid cloud model. One that is highly scalable and cost effective, yet gives organizations the flexibility to use different environments and services as needed.
STORAGE FOR IOT DATA LAKE
Well, tank and pipeline sensor data collected from distributed IoT edge nodes is typically aggregated, stored and processed in centralized cloud data repositories. Ultrastar storage platforms combined with object storage software offer can deliver benefits of the cloud in your data center. With a high-density footprint, extreme durability and compelling economics, more data can be aggregated and used as part of your data forever strategy.
Big Data and Analytics — A Data Lake Infrastructure for the Future
Building a petabyte-scale data lake with one of the lowest TCOs and without compromising performance, scalability, and reliability.
High Performance Archive
HIGH PERFORMANCE ARCHIVE
The Challenge of Protecting Seismic Data Forever
Data volumes are growing exponentially due to higher resolution capture methods and new seismic survey formats. As a result, now more than ever, oil and gas exploration organizations must manage, analyze, and store larger volumes of data forever, from applications distributed across numerous locations worldwide.
Backing up to traditional NAS is expensive, and scalability is limited, which creates disruption when expanding to store exponentially growing seismic data. With RAID-based systems, the risk of data loss or corruption is greater since projects are archived forever. Tape on the other hand is more cost effective, but the data is slow to retrieve, it can be shared easily and it is prone to errors over time.
HIGH PERFORMANCE ARCHIVE
Ultrastar storage platforms can be combined with distributed file system software to enable a highly scalable and durable archive that delivers high speed data access at a cost that can rival tape.
Simplify Data Management with Automated Tiering and Archiving
Putting the right data on the right storage technology during its lifespan can help organizations save money and allows them to maximize the value of their data.
Exploration
EXPLORATION
Gleaning Insights from Large Volumes of Data in Oil & Gas Exploration
Mobile analysis of drilling and extraction operations requires real-time, on-site decision making. Moreover, the harsh environments and vast temperature ranges involved in oil and gas exploration, whether out at sea or in arid desert climates, require durable, reliable, and massive data storage that can operate at high speeds.
Exploration is the most costly part of energy production. The way to minimize that cost is to use existing data and keep it available, which is only possible if that data exists on live media, such as hard drives. As economics change and technology progresses, the available data can continue to be used to detect and extract from new and existing reserves.
+$100
Million Dollars
Cost of drilling new deep-water well in oil & gas exploration5
A TRUSTED PARTNER FOR OIL & GAS EXPLORATION
Energy exploration requires both high-capacity and high-speed storage. Providing high-capacity hard drives to store big data and fast NVMe SSDs for analysis and visualization in real time, we can offer a complete solution for use in the field and in the data center.
Oil & Gas — Exploration
For more information regarding Exploration, please send a message using the link below.
OIL & GAS EXPERTS AGREE
Many types of captured data are used to create models and images of the Earth’s structure and layers 5,000-35,000 feet below the surface and to describe activities around the wells themselves, such as machinery performance, oil flow rates and pressures. With approximately one million wells currently producing oil and/or gas in the United States alone, and many more gauges monitoring performance, this dataset is growing daily…
SOURCE: HOW BIG DATA IS CHANGING THE OIL & GAS INDUSTRY BY ADAM FARRIS (ANALYTICS, NOVEMBER/DECEMBER 2012)
More than 20,000 companies are associated with the oil business, and almost all of them need data analytics and integrated technology throughout the oil and gas lifecycle.
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This webpage may contain forward-looking statements, including, but not limited to, statements regarding our product and technology portfolio, the capacities, capabilities and applications of, and market for, our products, our strategies and growth opportunities, and market trends. These forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed in or implied by the forward-looking statements. The risks and uncertainties are discussed more fully in Western Digital Corporation's filings with the Securities and Exchange Commission, including our most recently filed periodic report, to which your attention is directed. Readers are cautioned not to place undue reliance on these forward-looking statements and we undertake no obligation to update these forward-looking statements to reflect subsequent events or circumstances, except as required by law.
Disclosures
1. Source: Data: Is the oil and gas industry’s most valuable resource being overlooked? by Nathan Amery, IHS Markit, 2/21/18 2. Source: Global Big Data in Oil and Gas Exploration and Production Market-Analysis of Growth, Trends and Forecasts (2018-2023), Orbis Research 3. Source: Sakhalin-1 Project Drills World’s Longest Extended-Reach Well, Press Release (ExxonMobil, 1/28/11) 4. Source: IEA Cuts 2018 Oil Demand Forecast as $70 Crude Takes a Toll by Grant Smith (Bloomberg, 5/16/18). 5. Source: Role of Data Analytics in the Oil Industry by Deena Zaidi (Towards Data Science, 10/25/17).
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