◼ Tags – provides users the flexibility to group wells in our Infinity Optimization Platform under any specified category, attribute, or condition. At the field level, users are able to see how many wells are in each group, while at the well level you can see all the tags assigned to that well.
Tags helps our users create a more customizable experience that allows our users to organize wells and divide them into sections under any desired criteria or workflow. Whether it’s facility issues, leaseholder wells, well review actions, or offset frac/workover tracking, it all can be done using Tags.
[Well Status Dashboard]
◼ Well scope – filter down wells to various well status groupings depending on your interest.
◼ Map – see the status of your wells on the map. The map auto-adjusts depending on the status or tag selected.
◼ Card view – dynamically display the last card of every well or it can be shrunk down by status or tag.
◼ Unlimited storage – Every dynocard is stored in our platform from inception in our Platform, and there is no limit to how many cards users can store or view in our system.
◼ Sort by – the ability to customize viewing wells based on the user’s preference
◼ Anomaly button – this model uses machine learning to classify wells as low loads. Problems such as hole in tubing, rod part, plugged intake, stuck valves are captured by our model, which looks through 1000’s of cards every hour of to bring issues to your attention.
The field well status page creates a simpler, more intuitive version of a traditional morning report and simplifies the process of reviewing your wells. Users are able to easily differentiate between the various operating statuses of their wells, and the Scope allows them to go one step further into intelligent groupings of statuses by workflow.
[Field optimization report]
◼ ASPM based well groupings – A multifactor machine learning model that classifies a well as Overpumping, Underpumping, or Dialed-In based on physics-based features such as fillage, loading, cycling, fluid levels.
◼ Production vs SPM – graphing the trend line of the average liquid production vs running SPM and looking for outliers by comparing inputs and outputs.
◼ Cycles vs Fillage – a graph that compares the number of cycles per day vs the average fillage allowing the user to look for outliers in volatility and pump health
◼ Sort wells by fillage, SPM, production, or cycles
The field optimization page is designed to answer the question: what is an outlier? The ASPM model classifies wells daily. This page surfaces those groupings so that users can group wells by classification and see how their field is aligned across four complementary data types.
When wells are all in automatic mode, the outliers quickly show themselves as wells are brought to a dialed-in state of aligning inputs/outputs with minimal volatility using an algorithm that standardizes analysis and action to all wells. This allows our users to focus on the wells that require their expertise to deep dive and solve the more complex problems.
[Field deviation report]
◼ Obtain a deviation report of yesterday’s values for all your wells performance in a few clicks.
◼ Dropdown menu allows users to review deviation values in total fluid, runtime, Calculated FAP (fluid above pump), and peak load.
◼ Quickly flip between 7 day and 30 day calculations to spot the sudden and the gradual changes across critical well optimization criteria.
◼ +/- 10% segmentation focuses on the outliers in the deviation report for total fluid trending, runtime trending, calculated FAP (fluid above pump), and peak load trending.
◼ Sort by % change, magnitude, field of any data type
Field deviation features are designed to help eliminate valuable time wasted by clicking on multiple screens to perform well by well analysis in our platform. Developed weekly and monthly deviation reports provide all of our deviation calculations instead of having the users analyzing line graphs and trends. Therefore, we are able to present all of the deviation well analysis trends such as production, FAP, runtime, and load to our customers in one screen in one clear holistic picture.
[LTE & Wifi]
◼ Ambyint HRAC now available on LTE and Wifi options, so we are able to transmit significantly more dynocard data to our Infinity Optimization Platform than on satellite
◼ The ability to request cards on demand
◼ Expanded mapping to the Lufkin Well Manager.
◼ Users can remotely push their rod string design to the POC
◼ Set malfunction set points remotely and sync back
◼ Set load limit set points remotely and sync back
◼ Our Infinity Optimization Platform is able to intake daily oil, gas, water production data daily oil, gas, water production data scalably and securely via APIs to feed core analysis and reporting pages
◼ Additionally, pressure API data import results in more accurate fluid level calculations