Solving a Well Known Problem

Posted 16.10.2017 13:09 by Magnus Tvedt

Peek under the hood to see how we solve your problems

Every well plan has loads of data. Some are stored in specialist applications, more stored in excel sheets, and significant data is often found in someone else's work flow. (Isn't is strange how technical parameters can end up in a meeting summary?) When a decision is made somewhere in the ecosystem, how do you make sure everyone knows, and acts accordingly?

Our approach is lean and digital, and let's have a look at how we solve a well known problem in the industry.

When drilling a well, the largest pieces of the puzzle are the section tops and bottoms. They describe where you start drilling, often the bottom of the previous section, and where you will end, before you reduce the bit size and start the next section. These section tops and bottoms are often stored in tables in a word document, based on an original well path which can be altered and updated in a third party application. The sections are often decided based on a wide set of engineering issues, where local experiences and best practices make these unique from well to well. They depend on many factors:

  • Geologic parameters
  • Pressure and fluids in the rocks
  • Drilling fluid properties: density and chemical composition
  • Experiences from offset wells
  • Best practices

Changes to any of these parameters will influence the selection of top and bottom of a section, but will also require a new iteration on the other parameters, as everything is heavily linked. In our Pro Well Plan offices, our coding fingers starts to itch over this perfect challenge, so let's show you how we solve this.

First, we describe the relations between the different parameters mathematically and logically. We map out how a change in this influences a change in that. We love this part of the job, as it get's us really close to physics, fluid dynamics, maths and computer science. Since a computer can only answer 'yes' or 'no', 1 or 0, 'true' or 'false' to any question, we have to dig in books and brains until we have an algorithm which asks a yes/no question.

With the problem solved in a mathematical model, we can move to storing and visualizing the data. This is one of our core strengths:

  • we understand the parameters of a well,
  • we are able to describe them mathematically,
  • we care about work flows and work processes
  • and we make stunning visualizations.

All data points should belong in a database that can be queried, sorted, searched and accessed from everywhere (with the right access of course). So that is what we do. We put the data into a database. And on top of the database, we put our algorithms as watch dogs. Every time a data point changes, we iterate through all the relevant calculations we have defined in the model.

Then comes the visualization and making of user interfaces. There are so many smart tools out there in the digital sphere that are eager to make work processes easier. Having one foot in the IT industry and the other in Drilling and Well, we bring opportunities of improved communication, automated work flows, QA/QC implementation and offer deep drill-downs into the technical issues. We of course make automatic risk registers for you, based on the data.

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In this view we can drag and drop the tops and bottoms, or we can let the algorithms move them for us to get a second opinion. This way we have both an updated report, and a dynamic work surface at our hands. If we want to tweak the fluid density settings, or run kick calculations on the well, we add a button for that, and the interface runs all the mathematical processes in the background, and visualizes the results.

When you work in a team, you really get the best benefits of our smart tools. You get to work on the same data as your colleagues, and you can instantly see what your colleagues are doing. No more looking for data in meeting summaries.

Modern learning is step-by-step tutorials and software where everyone is free to fiddle with parameters to see how they affect the well design. This makes well design fun and collaborative, and is our mantra in every tool we make.

The reason for doing a well design study like this, is to figure out what is the most cost effectve solution. And the result is the time-depth curve. How does your design look in terms of economics? We automate the making of the time-depth curve, and have it updated for any change you do in the model.

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Fancy a try? Contact us for a discussion on how we can help you automate your work flow in the same manner. We do everything from full well planning, to specialist applications, such as intervention planning or plugging and abandonment (P&A) strategies. It can all be simplified and visual.

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The Team

Pro Well Plan AS is based in Bergen, Oslo and
Stavanger
Magnus Tvedt
CEO Magnus Tvedt magnus.tvedt@prowellplan.com
Nicholas Mowatt Larssen
CTO Nicholas Mowatt Larssen nimola@prowellplan.com
Cathrine Tangerås Eide
Project Manager Cathrine Tangerås Eide cathrine.eide@prowellplan.com
Khushal Adlakha
Data Scientist Khushal Adlakha khushal.adlakha@prowellplan.com
Torgeir Lassen
CFO Torgeir Lassen torgeir.lassen@prowellplan.com
Eirik Lyngvi
Software Developer Eirik Lyngvi eirik.lyngvi@prowellplan.com

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