Discover the latest news, trends and happenings at Well Data Labs
Tudor, Pickering, Holt & Co. released today their most recent Energy Tech Company Spotlight – and it was about us! We love hearing from our customers about how we help them solve problems that only good completions data can solve, but we also love hearing what leading energy analysts think about the coming “thriving digital ecosystem.” Follow the link below to read more about how we are building a bridge between pressure pumpers and operators as a format-agnostic frac data management platform.
Data Resolution – Why is it important?
New software is allowing companies to capture and store more granular data than ever. In O&G, specially in completions operations, some of the most detailed data is acquired off field equipment at a one-second level. These operations generate gigantic files that usually end up sitting on an operator’s share drive and rarely used, yet they have an immense potential for answering challenging questions.
Although data is considered the oil of the digital era, more data does not automatically translate into better analysis. Anyone who has opened a post-frac one-second CSV knows this all too well. Quality data delivery has not historically been a priority in completion jobs and has resulted in a mishmash of static post-job reports and unknown-quality one second data. Analyzing a pressure signal using static reports or data with the wrong frequency can not only be misleading, but also time-consuming and tedious. In addition to the lack of consistency among vendors, hydraulic fracturing pressure data is subject to several limitations. Some of these include signal interference introduced by wellbore geometry, rate variations, fracturing fluid composition, and low sampling frequency. read more…
Well Data Labs and IHS Markit announced a new technology alliance this week during SPE’s Hydraulic Fracturing Technology Conference in The Woodlands, TX. The technology alliance seeks to integrate Well Data Labs’ completions data application with IHS Markit’s engineering and geoscience software platforms.
Guest Post by Julie Schellberg with Big Mountain Analytics
Just before the Holidays, I released a Spotfire template on Exchange.ai built in collaboration with Well Data Labs, creators of a modern web application built to manage, analyze, and report completions data. Well Data Labs believes their customers and partners should be able to easily integrate data between applications using RESTful APIs, allowing custom analysis without the level of friction seen in many oil field analysis projects. read more…
For many operators, it seems like the well is a baton handed off from the drilling team to the completions team to the production team. Each group has their own tools, their own questions, and their own ideas about what makes for a quality well. But at the end of the day, the only thing that really matters is the performance of the well itself – is it producing or not?
I’ve been reading more and more articles with the same thesis: as the amount of data collected on unconventional plays increases, it can be used to build advanced analytics that drive towards successful wells. But this data only really begins to be meaningful when it is interconnected with other big data sets. True data integration across teams has an immense potential for answering challenging questions about the relationship between the decisions made at each stage of a well’s life and its performance.
The Colorado Office of Economic Development and International Trade (OEDIT) announced more than $3 million in grants to 15 Colorado companies, including $250,000 to Well Data Labs, Inc. The non-dilutive grant will support Well Data Labs’ growth as a SaaS solution supporting the oil and gas industry.
“This Advanced Industries Accelerator Grant offers us an opportunity to further scale Well Data Labs and position our product as a leader in oil and gas analytics software,” said Josh Churlik, Well Data Labs’ co-founder and CEO.
Guest Post by Ky Kiefer
We often design hydraulic fracturing treatments around historical success. We look to the successes (and failures) of “wildcatters” of the past and attempt to replicate treatment designs. Once we have a baseline treatment that tends to perform within a formation, we strive for continuous improvement by adjusting our baseline treatment in controlled ways and, all the while, evaluating the efficacy of each adjustment. These kinds of experiments are conducted by scientists, engineers, and statisticians in the lab and field with tools such as Excel, SpotFire, proprietary simulation software, and various programming languages. However, the full power of data is just beginning to be leveraged industry-wide for two reasons:
- Powerful datasets take time to accumulate.
- The emergence of open-source tools (like Python and R) have leveled the playing field for advanced analytics among startups and supermajors alike.
In today’s industry climate, operators are relying on large data sets more than ever to make intelligent design decisions when it comes to drilling and completing wells. The first step in making those decisions is establishing a detailed understanding of what happened in previously drilled wells. But, as any engineer who has attempted such an endeavor clearly knows, this is more easily said than done. Many of the data sets vital to understanding the full story of what happened on an old well are challenging to analyze, much less compare against each other. At Well Data Labs, we work to make one of these data sets, detailed frac data, structured and useful for engineers so that they can answer questions and gain the insight needed to do what they do best: design more efficient wells. To better understand what happens when engineers are armed with the right data, we sat down with Darren Kirkwood to discuss the analysis he was able to carry out on completions data using the Well Data Labs application during his time at Fuse Energy.
The latest edition of the Oil and Gas Financial Journal has dropped, and we are excited to share that Well Data Labs, along with three other fantastic Denver-based companies (PetroDE, FractureID, and Wizdom Land Solutions), are discussed in the feature article “Exciting Times in Oilfield Technology.” As cool as it is to see our name on the fresh ink of a major E&P publication, we are even more thrilled to see the interest that the industry is taking in truly understanding their vast wealth of data. A common theme that we hear when talking to engineers is that completion designs could be much better if they had the time, tools, and data to quickly evaluate design decisions. Innovative technology is giving engineers a little bit more of all three, and we can’t wait to see what they will do.
It’s the 1970’s and it’s a boom time for oil and gas – all the major players of today and yesterday operate rigs throughout the country’s oil fields. The only thing the rigs produce in more volume than resources? Data.
The problem is that it’s the 1970s, and there’s no common language for that data. Copious amounts of it simply get lost in transit from the field to remote facilities – data that could be used to evaluate rig performance, analyze formations and more.