Maximizing Oil and Gas Efficiency in Production and Reducing Risk

Alex VarshavskyAlex Varshavsky, CEO, Talksum

Next month, I’ll be in London (July 8, 2014), speaking at the Big Data in Oil and Gas Briefing, an event organized by Terrapinn Holdings with a focus on unlocking the value of Big Data for oil and gas efficiency, exploration, and production and how to secure competitive advantages in the industry through Big Data.

Talksum at the Big Data Oil & Gas ConferenceAs outlined on their website, technology is driving data growth at an exponential rate, and the need to gather data into a format for analysis is one of the biggest infrastructure problems the oil and gas industry faces. This data comes in various and complex forms, making it a challenge for energy firms to interpret and leverage it. But Big Data can also be seen as an opportunity to create a serious competitive advantage.

That’s why I’m excited to speak at the briefing about how to maximize efficiency in production and how to reduce risks. This is the exact solution offered by the Talksum Data Stream Router (TDSR). In my presentation, I’ll cover the following important areas:

  • Cutting non-productive time by preventing failure and down time.
  • Applying a unified data structure to drilling and geological operations.
  • Communicating using different data sets.

The TDSR processes upstream data to provide real-time actionability for oil and gas exploration and production, reducing non-operational time, and preventing disasters. The TDSR solution works at the remote site and at the data center level. Each can be independent of the other or can work together.

At the remote site, the TDSR collects any type of sensor or log data, including data from service providers such as mud logging, LWD/MWD, and others. The TDSR then filters the data, determines critical events, and intelligently routes the relevant data to the drilling console and other relevant locations, including the data center.

At the data center, the TDSR retrieves data from the remote site, as well as other locations, for consumption by the master drilling console, the real-time operations center (RTOC) drilling console, business intelligence (BI) tools and dashboards, and other databases. It forwards relevant information back to the remote sites and to different cross-domains such as first responders, health and services, refinery control, and others.

Other speakers at the Big Data for Oil and Gas Briefing include Intel Big Data Architect Bhasker Allene; Steria Director for Petroleum, Energy, and Industry David Cameron; Maersk Oil Qatar Senior Manager of IT Infrastructure Tom O’Reilly; and others. Another blog posting will cover their topics and insights from their sessions.

If you would like to attend the event, we would be happy to send you the brochure link, along with a unique promotional code, which will allow you to register at a 15% discount. Simply fill out the Talksum Contact Us form asking for the brochure and/or discount code.

If you cannot attend the briefing, or for more information about how the Talksum Data Stream Router can help with your oil and gas solutions, send us a request using the Talksum Contact Us form.

Click here to read more about Talksum oil and gas solutions.


Thoughts About Building the TDSR, Book Recommendations, and More …

Barry Strauss, Talksum Head of MarketingBarry Strauss, Head of Marketing, Talksum

Recently, Anmol Rajpurohit (@hey_anmol) from KDnuggets and our CTO Dale Russell discussed the challenges in building the TDSR (Talksum Data Stream Router), current trends in real-time analytics, advice for data science aspirants, and more. They even touched upon book recommendations! It turned out to be a fun and engaging discussion between them.

Talksum Interview With KDnuggetsInstead of reiterating their conversation, here are the questions asked by Anmol:

  • What were the biggest challenges that you had to overcome while building the Talksum Data Stream solution? Were there any interesting observations during the solution development that significantly impacted your solution design/architecture?
  • What motivated you to switch your career from applied engineering and operations management to large-scale data management? How did you get involved with Talksum?
  • Which of the current trends in real-time analytics are of the most interest to you? How do you see things changing in next few years?
  • Based on your experience, what advice would you offer to people aspiring a long-term career in data science?
  • On a personal note, are there any good books that you have been reading lately and would like to recommend?

To view Dale’s answers to Anmol’s questions, click here.

Those thoughts made up the second segment of a 2-part interview, which stemmed from the Big Data Innovation Summit, Santa Clara, CA, where Talksum won the Big Data Start Up Award. In the first segment, Anmol and Dale discussed the award, as well as the TDSR and cross-domain networking using data stream. The following topics were covered:

  • What factors played a major role in helping Talksum beat the competition in the race for the Big Data Start Up Award?
  • What is the market need for “cross-domain networking with real-time data management using data streams? What inspired you to focus on this market need and fill it with an innovative solution?
  • What would you consider as the top three features of the Talksum Data Stream Router? What is the next set of capabilities that you are working on?

To view the answers to these questions, click here.

Click here for more information about the Big Data Start Up Award.

Click here to view an infographic of the Talksum solution.


Driving Oil and Gas Exploration, Production Efficiency Through Harmonized Data

Dale Russell, Talksum CTODale Russell, CTO, Talksum

We just got back from the Big Data Analytics for Oil & Gas Forum that took place in Houston, TX, where Talksum was asked to participate as both a speaker and as the conference chair. I want share insights and expand on the event’s theme – driving oil and gas exploration and production efficiency through harmonized data.

Speakers from Shell, Riss Energy, Halliburton Landmark Software & Services, Hess Corporation, and others reinforced the topic of harmonized data. Subjects ranged from cross-unit and cross-domain performance and data management, data accuracy, cloud computing, seismological processes, and case studies on how to harness the 2.7 zettabytes of data within the oil and gas digital universe

The forum started with a keynote from CIO Patrick McGinty, Riss Energy, who looked “ahead” at energy in the Big Data era. He delved into the strategies and tools that are changing the landscape of the energy industry. Patrick ended the session with an analysis of emerging trends in predictive analytics and cloud computing and exploration of the future of the industry under new technologies

Dwayne Williams, UNC Wells HSE – West Supervisor for Shell Oil Company, gave a case study that followed real-time data – from the field to corporate analytics. During the session, Dwayne showed how Shell improved field productivity and reduced risks using mobile devices and mobile form apps to improve health, safety, security, and environment (HSSE) data collection, and how they connected this data to the corporate analytics system.

Day 1 ended with my session on cross-domain data management for the oil and gas sector. In the session, I focused on the importance of ingesting different types of data from multiple data sets, including those from the well site, remote units, regional sites, headquarters, and at the real-time operation center (RTOC), and being able to format – or harmonize – the disparate data in real time, as well as enrich the data by correlating events with other external data sources. In a cross-domain scenario, the ingested data would “talk” to each other, and relevant parts would be intelligently routed to the appropriate real-time BI tools, dashboards, and respective databases at the well site, remote units, RTOC, and so on, for immediate action. In addition, pertinent parts of the data flow would be streamed to other cross domains such as health services, insurance companies, and the like, to minimize latency.”

On day 2, an interesting session was given by Riss Energy CEO Srik Soogoor, who discussed how cloud computing and Big Data are revolutionizing exploration and drilling. He looked at strategies and tools that are changing the landscape of the energy industry, at analyses of emerging trends in predictive analytics, and at the future of the industry under new and proposed government regulations.

The Big Data Analytics for Gas & Oil Forum brought with it an informative two days of introductions, workshops, presentations, discussions, and insights into Big Data analytics for oil and gas – highlighted by the need for harmonized data to drive oil and gas exploration and production efficiency.


Talksum Gets Ready for the Big Data Oil & Gas Forum, Announces Solution for Oil and Gas Exploration and Production

Alex VarshavskyAlex Varshavsky, CEO, Talksum

Talksum announces solution for oil and gas exploration and productionAs I described in an earlier blog post, Talksum has been invited to participate at the Big Data Analytics for Oil & Gas Forum in Houston, TX, which will take place tomorrow, October 17-18, 2013. We will be speaking at the forum and sharing our knowledge about cross-domain data management, how it works in the oil and gas sector, and why it’s so important for the industry in terms of efficiency, security, and safety. Since my last blog, a couple of important events have occurred.

First, the event organizers have asked that we not only speak about cross-domain data management and provide demonstrations in our booth, but they’ve also asked us – since my last blog posting – if we would like to chair the event. We enthusiastically said “yes.” To accommodate this, our CTO Dale Russell will also attend the forum with me. We will be talking about a new approach to working with data across oil and gas domains, and how to handle, process, and intelligently route the massive amounts of data in real time to appropriate users at the well site, remote units, RTOC, and so on, for immediate action. In addition, we will also explain how pertinent parts of the data flow could – in parallel – be streamed to other cross domains such as health services, insurance companies, and the like.

Secondly, we have posted a press release today that complements our event participation and officially announces our cross-domain data management solution for oil and gas exploration and production. You can view the entire Talksum oil and gas solution press release here.

If you are in the Houston area, please let us know so that we can set up a face-to-face meeting with you during the event. If you cannot make it to this forum, fill out our contact form as appropriate and we will contact you as soon as possible.


The Importance of Cross-Domain Data Management for Oil and Gas Exploration and Production

Alex VarshavskyAlex Varshavsky, CEO, Talksum

Next Thursday, October 17-18, 2013, Talksum will be participating at the Big Data Analytics for Oil & Gas Forum in Houston, TX. Top minds in oil and gas data analytics, exploration, production, and data management will focus on cross-division efficiency, data accuracy, data management, and other relevant and timely topics, and how to bridge gaps and look closely at the sector’s biggest asset – data. I’m excited to be a speaker at the forum and to share our knowledge about cross-domain data management for oil and gas, how it works in the oil and gas sector, and why it’s so important for the industry.

The oil and gas exploration and production industry is huge and relies on many players for success. If logs at the well and sensor information aren’t processed timely and don’t reach the targeted audiences at the right time, billions of dollars would be lost and catastrophic results could occur.

To give an idea of the magnitude of the oil and gas sector, as well as the importance of cross-domain data management, we can look at a few numbers:

  • In the North Sea, a single 6 km well can cost $100 million to drill.
  • Non-productive time, which can be caused by a myriad of factors including bad weather, operator errors, leaks, pressure problems, faulty parts, and so on, can be as high as 30 percent.
  • With thousands of offshore rigs in the world and an average daily rental rate exceeding $150,000 per rig, a few percent cost reduction across the offshore fleet would translate into savings of billions of dollars per year.

These are big numbers that require massive amounts of data among many domains including exploration, extraction, navigation, distribution, communications, health, services, and refinery control to enable safe environments with efficient results. Cross-domain data management enables data to:

  • Cross barriers of proprietary software and systems.
  • “Talk” to each other in real time at the right locations when needed.
  • Detect “abnormal” events in real time before a catastrophic event occurs.
  • Comply with industry and government standards, as well as ever-changing regulations and policies.
  • Be safe, secure, and protected from cyber attacks.

I’m looking forward to the event and will post interesting insights in a future blog. If you would like more details on the Talksum solution for oil and gas, please fill out our contact form and one of our team members will be happy to oblige.