The Story of a Well

A quick walkthrough of the WellLine Interface's major features.
This is the story of an oil well and the data it provided throughout its lifetime.
The well, hereafter referred to as "F-12", began in 2004 with preliminary reports. Many events happened through its life, until its abandonment in 2016.
Here is an example of how you can look at an entity's entire lifespan of data and derive insights from that data using WellLine.
This page is meant to serve as a written, story-driven walkthrough of the WellLine interface. To begin, navigate to WellLine and log in. The walkthrough starts on the Home page, which will appear after login.

Well F-12, Interruptions

We'll start with searching for the well in our tenant.
From the Home screen, click the "Equinor" tenant:
From the resulting search page, type the letters "no" to bring up an autocomplete suggestion dropdown. The suggestions are entities within WellLine, and selecting one will bring up its Timeline.
Scroll down in these suggestions and select well.NO 15/9-F-12:


The Timeline view for the well appears. We can now see the entire life of this entity across all data currently in the Equinor tenant.
In this case, the well has 5263 events across ~12 years of time:
A count of total events in the LifeLine is shown in the upper-right
To start customizing our view and looking for insights, let's first narrow our view to events that happened in 2007. To narrow our view, we simply drag the gray box (the TimeSlice Selector) in the LifeLine to just cover the events displayed in this period of calendar year 2007:
Our cursor changes to a double-arrow and we can adjust the Selector
When we do this, all areas beneath the LifeLine (the TimeSlice area) automatically update to show only events during this time period:
For example, the Histogram (top-middle) shows a zoomed-in view of the LifeLine now
Now, anything we do in the TimeSlice area will only affect the period of time we just selected.

Event Filters

To see what type of events occurred during this time period, let's look at the Event Filter panel. This panel provides aggregation metrics and allows for quick filtering based on an event hierarchy.
The event hierarchy often comes from a data source's existing coding system.
For example, we can see that many events defined as "Drilling" occurred, while almost no "Completion" events occurred. This gives an immediate indication that the well was drilled during this period of time.
There were also 116 "Interruption" events that occurred. These could reveal important issues that occurred during drilling, and perhaps even some lessons learned.
Let's see what specific types of interruptions happened; to do so, click the arrow next to "Interruption (116)".
Some of these event types are helpful in determining what happened, but 80 events are listed as "Other", which is not very descriptive. Luckily, WellLine offers other methods of figuring out what these events are besides just reading through all of them.
To start our investigation into what these "Other" events are, let's turn off all events except "Other". To do so, click the slider next to the "Event Types" header to turn off all events, then click the checkbox next to "Other"


The rest of the TimeSlice is now filtered to just these 80 events. To get a better idea of when most of the interruptions occurred, we can zoom in using the Histogram.
There are a couple ways to zoom the Histogram:
  • With a mouse, use the scroll wheel
  • With a touchpad, use 2-finger scroll or the touch scrollbar
  • Adjusting the gray TimeSlice Selector bar (as we did previously)
Let's zoom in near where the most light blue appears in the Histogram. It appears that the area around July 22nd contains many of them:
The Histogram bar aggregation changes as you zoom
The Histogram also has the ability to overlay time series data, if available. To add this data, we can click the "Measures" dropdown and select one or more measures.
Let's add the measured depth ("depthMD") and wellhead elevation ("wellheadElevation") to our Histogram:
Click the "Measures" dropdown
Scroll to "depthMD" and click to overlay it; do the same with "wellheadElevation"
This effectively overlays a days over depth chart plus provides an indication of when the wellhead was installed:
The Y-axis on the left shows the measure(s) you have selected
This provides useful context:
  • The wellhead was installed on July 15th
  • The hole depth progressed several days later
  • There were many "Other" interruptions during this time


We can also use the Histogram to orient ourselves in time. Clicking the Histogram around the period of July 22nd will move the EventStream to this same period:
The EventStream provides the full details of each event in our current view.
Clicking the Histogram moves the EventStream pages to the selected time period
We could now read through the events that occurred during this time period. For example, open the last "Other" event from 2007/07/21 by clicking the up-arrow icon:
This opens an event card, which displays many event details, including which entities are part of the event. Some of these entities come from structured data--the well name and the rig name, for example--while many others come from WellLine's entity extraction processing.
Event cards display details about a single event
In addition, clicking an event in the EventStream adds that event to our current URL. In fact, almost all of the filtering we have done so far is being captured in the URL.
For example, our current URL is something similar to the following:
This allows us to quickly and easily share our current view with others, fostering communication and knowledge gathering.
Closing the event card brings us back to the Timeline view:
Click "CLOSE" or click outside of the event card to close it


Instead of reading through dozens of written drilling comments, we can use the power of entities to see summaries, patterns, and even potential events of interest. To do so, we use ConnectionViewer:
Entity groups in ConnectionViewer
The dropdown options in ConnectionViewer represent groupings of entities. The number next to each group is the number of unique entities that it contains. For example, in the above screenshot there were nine (9) types of Equipment Problem entities found in our current view.
Opening a dropdown reveals the entities that make up the group. Let's take a look at what Equipment Problems were found for the "Other" interruptions we are currently investigating:
Click the arrow to reveal the entities in this group
The nine unique "Equipment Problem" entities are revealed
The number next to each entity is the number of events, in our current view, in which it occurred. This provides useful information in our investigation:
  • There were many repairs undertaken
  • Leaks, including hydraulic leaks, had to be addressed
  • One specific problem involved one or more mud pumps
Now that we have a better general idea of the actual interruptions, we can investigate specific subsets by using entities as filters to our current view.
Let's take a look at the mud pump issue; to do so, click its + icon:
This adds the entity to the Entity Filters container. We can add as many filters as we'd like to the container, applying them by clicking the "UPDATE & APPLY" button.
For now, let's look at this single event by clicking "UPDATE & APPLY" now:
Clicking "UPDATE & APPLY" applies the filter
Our Timeline is now filtered to just the single event where "mud pump problem" was found. The "1" in the Entity Filters container is the number of entities we are filtering by.
We have now identified and isolated a specific Interruption event that occurred while drilling this well. This event can be easily shared with others, recorded in a report, or used as a starting point for a deeper investigation into mud pumps.
This concludes one portion of the story of the F-12 well.
You are now familiar with many of the major features of the WellLine interface. If you have any questions or encounter any issues, please send a message through our built-in chat support.
To continue the story, keep reading and following along, below.

Well F-12, Production and Workovers

Let's move on to the longest period of the well's life: when it was producing oil and gas. To do so, let's clear any filters and move our TimeSlice Selector to the production portion of the LifeLine:
Clear entity filters by clicking "x", then click "UPDATE & APPLY"
Adjust the TimeSlice Selector to the period of time between 2008-2016
Our previous selections in the Event Filter panel are remembered, so let's reset this panel as well:
Click this toggle to clear all event filters
Looking at the entity types, we can quickly tell that this period of the well's life was focused on production: the 2972 "Production" events are far higher than any other type of event.
Looking at the Entity Filter and the Histogram, we can also see that the well had several periods of "Workover" events, in 2009, late-2010, and late-2014:
Dark-green "Workover" events can be seen in 2009, 2010, and 2014

Production Metrics

Since there is production data available we can overlay production metrics in the Histogram. To do so, open the "Measures" dropdown and choose "oilProduction", "gasProduction" and "waterProduction":
This overlays the three measures.
In this case, the "oil production" and "gas production" lines are almost perfect matches, so depending on the color you will primarily see one or the other.
There is a lot going on in the Histogram now, so let's make the Histogram panel easier to read by hiding "Production" events, hiding the Event Types panel, and resizing the panel to make it larger:
Click to hide "Production" events from the Timeline view
Click icons in the Layout bar to hide the matching panel from the Timeline view
Click-and-drag borders around panels to resize them
These are several of the ways to customize the Timeline view; adjust the view to your liking.

2014 Workover

We can see that the oil and gas production declines steadily after 2010. However, in late-2014 there is a noticeable change to the production metrics. To see what caused this, let's zoom in to this period of time:
We can now clearly see that this period of time had an effect on production: water drops significantly while oil and gas rise significantly. To understand why, we can look at other portions of the WellLine interface and get a quick idea of these 69 events.
To see the full picture, let's un-hide Event Filters and see what type of events occurred:
Click the Event Filters icon in the Layout bar to show it again
Expanding "Workover" shows us the work that was performed:
There are 9 "Perforate" events. Were these the cause of the production improvement? Let's look only at these "Perforate" events:
The Timeline view now contains only the 9 "Perforate" events
A quick glance at EventStream shows that there were several successful perforations on 2014/11/26. The event filters were helpful here and allowed us to quickly find useful information.

Alternative Discovery

What if these events had been given the type of "Other", or something less-helpful? Another way we could have found this important information is through ConnectionViewer.
Show all "Workover" events, then open the "Equipment":
Here we can see the various pieces of equipment that were mentioned during these "Workover" events, including "perforation gun", which is connected to 3 events.
Just because a piece of equipment was mentioned does not mean it was used, however, so let's add "perforation gun" as a filter (by clicking its + sign, then "UPDATE & APPLY") and see it in context:
Click the + next to "perforation gun" (1) to add it to the filter container (2), then apply the filter (3)
The resulting view shows several events where this piece of equipment was mentioned, including one in which the perforation guns were "activated":
Several mentions of the entity "perforation gun"
Through different WellLine interface capabilities we have effectively arrived at the same conclusion: intervention efforts in 2014, including a perforation of the well, resulted in improved oil and gas returns and a reduction in water returns.
From here, the documentation that follows will dive deeper into the WellLine interface, terminology used throughout, and how you can manipulate your data to quickly learn the history of your assets.