A new technology helps streamline well top data; and answer our survey to help us figure out what inspires innovation in oil and gas, according to geoscientists.
It’s simply serendipity that the topics I cover today have relevant information from topics I covered before. Fear not, dear reader. I’ve not gotten so omniscient that the only credible information I can cite is my own😜
Jokes aside, there are two great bits in here. We request your participation for one and bring in some familiar tech for another. Let’s get crackin’!
Sarah Compton
Editor, Enspired
Survey Says…
Catch up fast: A few weeks ago, we went over a paper that summarized what drives individual innovation in oil and gas.
Solid feedback: An Enspired reader pointed out that it was sent to, and subsequently answered by, members of SPE—overwhelmingly (and unsurprisingly) engineers. The reader wondered why no one had asked geoscientists…so we thought we would!
Geoscientists matter! We want insights from geoscientists into what drives individual innovation in the industry, so we are going to follow a very similar methodology and question flavor.
The goal of the study is to understand what drives exploration vs exploitation.
Recall that exploration is developing completely new technology and innovations, whereas exploitation relies on small improvements to, or new uses of, existing technology.
Share your thoughts: To that end, we are asking you to complete a survey if you are actively working in or around the periphery of the oil and gas industry. Details are like so:
We ask that you complete the survey no later than opening of business day Monday June 10th.
The survey includes 12 questions asking for demographic information then 14 questions about your recent interactions with innovation at work. The demographic information helps us figure out how various aspects of who you are impact your interactions with innovation in the industry.
I will analyze the data and type up a more in-depth article on the results, then I’ll discuss the insights in the July issue of AAPG’s Explorer magazine and here in Enspired.
Please help us better understand and share the geoscience point of view around individual drivers of innovation in the industry and answer the survey! It should take about 8-10 minutes of your time.
Compliments of AspenTech, this whitepaper will give insights into:
1️⃣ Formation evaluation techniques—including seismic imaging and well logging—that can be repurposed to assess subsurface conditions for sustainability projects 2️⃣ Digital solutions that help ensure economic feasibility and safety, while improving collaboration, communication, and regulatory conformance in geothermal and CCS projects 3️⃣ Informed decision-making around natural resource utilization, promoting sustainability
Context:Recall the Enspired edition in which we reviewed how forensic acoustics helped differentiate earthquakes from nuclear tests in seismic signals?
Well…it seems acoustics is lending its hand again.
The tech: Hash Match Tops Fingerprinting gets its inspiration from music app(s) that allow users to sample a snippet of music and identify the song. Think apps like Shazam. Applying similar concepts, this tech identifies tops in wells.
Auto tops, auto flops? Nearly all geoscientists have seen auto-pick options from our various geologic software. We often choose to pick our own instead because the results are…let’s say less than stellar. So, what’s new here?
Convolutional Neural Networks make us sound really cool and in touch with the latest and greatest data analytics, but they take a hot minute to train and can spit out results that seem more black box-ish than the OpenAI results suggesting everyone eat a rock a day (though Google says that result was “faked.” Wink, wink, nudge, nudge).
Cross-correlations are simple, but they can produce false positives.
Dynamic time warping also uses audio processing technology, but it can still make incorrect connections between wells, especially when there’s a missing section because it. Must. Find. Correlations. Even when they don’t exist.
Shazam creates unique fingerprints for songs by hashing pairs of anchor points representing the strongest frequency and their time differences, which is then matched against a database of fingerprints from known songs.
Harnessing that music recognition technology speeds up the picking process and provides markers with objective and measurable basis in log character.
Hopefully, that last bit really caught your attention.
This isn’t going to just spit out tops for you to shake your head at and wonder, “Why? WHY did you pick this marker?!” You’ll get that information along with the selection.
The tech is very new, so it has a few bugs being worked out, but it holds great potential. If you want to hear more, check out the URTeC talk in a couple weeks!
I plan to be at URTeC the 17–18 of June in Houston. Have you gotten your tickets yet? If you plan to attend, come by AAPG's booth, #1116, to say hello and get your hands on exclusive content from yours truly.
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