Offset Wells Analysis Dashboard Design Concepts Challenge

Welcome to the  "Offset Wells Analysis Dashboard Design Concepts Challenge".

In this challenge, we are looking for your help to design a dashboard that will help users to analyze offset wells and design new wells. This dashboard will rank the wells based on advanced algorithms(Machine Learning) and shows the top 10 or top 5 offset wells along with the score that matches the criteria entered by the user.

Read the challenge specification carefully and watch the forums for any questions or feedback concerning this challenge. Let us know if you have any questions in the challenge forum!

We are really excited to kick off this Design Concepts Challenge.

CHALLENGE OBJECTIVES

• Web Application
• 5 Screens

Round 1

Submit your initial designs for a checkpoint feedback
1) Search Criteria
2) Dashboard
4) Design the New Well

• As part of your checkpoint submission, you must upload your submission to MarvelApp so we can provide direct feedback on your designs. Please include the MarvelApp URL in your notes.txt
• Make sure all pages have the correct flow. Use the proper file numbers, (1, 2, 3, etc.)

Round 2

Submit your final designs with all checkpoint feedback implemented.
1) Search Criteria
2) Dashboard
3) Well Details
4) Design the New Well
5) Manage Wells

• As part of your Final submission, you must replace your checkpoint submission with the final submission into MarvelApp so we can provide direct feedback on your designs. Please include the MarvelApp URL in your notes.txt
• Make sure all pages have the correct flow. Use the proper file numbers, (1, 2, 3, etc.)
• If you're not submitting in the Checkpoint/Round 1, you are not eligible to submit in the Final/Round 2

OVERVIEW:
Offset well analysis is the process of investigating and integrating historical drilling performance from neighboring wells into prospect ‘well’ design.

Traditional offset analysis is a time and resource-intensive process (please see flow chart in instruction_Set1.docx to understand the process)) that requires a lot of manual input and analysis to make various design decisions. Historical data is queried from a structured engineering and operation database consisting of data ranging from subsurface geology, drilling to production and end-of-well.

The goal of this project is to develop advanced algorithms(Machine learning) that perform offset well analysis, rank offset wells based on similarities and differences with the proposed well and based on these similarities, make recommendations for the prospective well, and continuously learn from the choice.

AUDIENCE:
- Oil & Gas Company Engineers

USER STORY:
Bob is a new engineer at the oil & gas company. He is given the responsibility of designing a prospect well. Now, his task is to find perfect parameters for this well, based on the location - he knows approximately what shape it needs to be drilled, what diameter it needs to be drilled as a specific type of rock (in this case assume it is limestone)needs different pressure & diameters, timeline, cost, etc.

But he is confused on how to go about this process as the traditional process allows him to manually search through the database for already drilled similar wells by allowing him to enter various parameters he is looking for but it doesn’t tell him which wells closely match his criteria & everything needs to be done manually so it's a time-consuming process. He calls his colleague and asks for suggestions on how to go about this process / his friend tells him about the new tool (which is a component of the Digital Well Program (DWP) that assists the engineer to visually configure a casing design based on historic offset wells when casing designs are not provided in advance) that gives him recommendations on the well based on a similarity score. Bob immediately checks this new online tool:

• DWP automatically drives him into “Offset Well Analysis”. He finds a clean welcome screen.
• He likes the smooth onboarding experience that explains to him what they can perform in this tool.
• In the initial screen, he is asked to enter and save the criteria (well trajectory, lithology, pore and frac pressure, Non-Productive Time (NPT), Cost) for what he is looking for, he is also asked to enter a similarity score and clicks on a button to initiate a search.
• In the search results, he is fascinated by the way the results are shown - it shows the top 10 wells that match his criteria, and also it shows visualization about trajectory, pore, and fracture pressure, lithology similarities, NPT, cost and time comparison on why they were in the top 10, each of which also has a similarity score.
• Users are able to drill-down to a particular well and see the engineering drawing of how the well has been drilled and also has other important information like NPT, Cost, and time it took to drill the well. It also should be able to deal with limited data scenarios.
• From the search results, he is able to click on a button that says “Design Prospect Well” and is taken to an extended page where the prospect well is automatically configured in all its hole sections or with the option to manually edit the well with a simple drag & drop interface.
• He is provided with options to accept or reject the automatically provided solution.
• The application allows the engineer to manually change the automatic solution and still display the % gain/lost accuracy due to editing the automated solution. Even after a solution is generated, users can challenge existing solutions to account for new data input.
• He finds that some hole sections need better designs, so he rejects the solutions and proceeds to improvise the solution by manually adding and removing well designs from different hole sections.
• He finds a well that matches one of the hole section, as drilling of that hole section matches the rock type (a well can be segmented to different hole sections depending on the type of rock that is being drilled), he is fascinated by the tool that it allows him to manually adjust matching well into a particular hole section by drag and dropping.
• Once he is done with the well design into hole sections - he saves the design by clicking the save button and a prompt is shown asking him to enter a name for it and shows a success message that the design is saved. Also, the app allows him to share the design by allowing him to export the design as a PDF.���
• He is also able to access the list of designs that were already created, the app provides options to edit the design (he is able to see the version history / able to restore to a particular version, etc) and is also able to reset or delete the design changes.

DESIGN GOALS & PRINCIPLES
Below are some of the goals:

• Try not to have too much information on your dashboard,i.e., provide more insights into a solution depending on user action on the visual representation of the offset and prospect well design. You can make them compelling by making the visualization interactive and enable users to walk through or drill into different insights.
• Elegant, clean, simple, user-centered look and feel with modern aesthetics
• Use color, visual comparison, and drill-down charts to highlight comparison.
• The overall design and user experience
• Engaging and easy-to-use/interact UI
• How well does your design align with the objectives of the challenge

EXPLORATION SCORE
In terms of expectations, we would like to measure the concept against the following in the one to ten scales (ask the client to rate each of the parameters)

Creativity: 10
- 1: barely new ideas
- 10: a utopic product but with features that can be fully implemented

Aesthetics: 8
- 1: low-fidelity design, wireframe, or plain sketch
- 10: top-notch finished looking visual design

Exploration: 8
- 1: strictly follow an existing reference or production guideline
- 10: open to alternative workflows/features not listed here that would help the overall application

Branding: 8
- 1: don’t care at all about the branding just functionality
- 10: without a properly branded product there is no success

BRANDING GUIDELINES
- Please follow the branding guidelines shared in forums

TARGET DEVICE
Desktop: 1366px width and height as required (try to keep above the scroll)

SCREEN REQUIREMENTS
1) Search Criteria
Reference: Screen 1 in Wireframe.pdf
Users will be required to enter the below parameters(If not already available as part of a large solution (DWP) to find the wells that match their criteria for the new well to be designed.
- Location: Location where the new well is planned
- Trajectory Type: This denotes the shape of how the well is dug (L-Type, etc)
- Age: Age of well
- Depth - Depth of the well
- Water Depth
- Formation: Type of rock, formation name, depth
- Pressure: This will be denoted in PSI
- Distance: Within how many miles should a well need to found (specify in miles)
- Country: Select the country where the well needs to be found
- Similarity: These are metrics that score how similar two wells are in terms of their shape, characteristics where they were drilled (subsurface conditions like pressure and rock type). Generally scaled from 0 to 1. 0 being no similarity and 1 being 100% similar

- Search results will be shown on a dashboard with various visualizations.
- We are looking for your thoughts on how the user will enter the criteria and then see the results, we are open to your ideas on how we need to envision this.
- Do you think it will be better if the user can save the criteria / that way they don’t need to enter the criteria again? (i.e., he can change offset wells and apply saved criteria)

2) Dashboard:
Reference: Screen 2 in Wireframe.pdf
- Dashboard will be the search results that will show wells based on similarities and differences with the proposed well (search criteria), we are looking for some visualization that will help users understand why/how the top 10 or 5 wells were chosen from among thousands of wells & what made them stand out. It needs to support user manual selection of addition of offset wells and the dashboard results shall update according to the changes.
- We need your thoughts on what/how many wells we can show in the dashboard.
- Also they will be able to further filter this by these parameters “NPT, Cost, Time to drill, Hole Section, Hole Section Type”
- Also, apart from the top 10 - please provide a way for the user to see the entire list of wells matching the criteria.
- Need to show the NPT Vs Top 10 wells, Cost Vs Top 10 wells, and Time vs Top 10 wells as a visualization.
- Need to show the distribution chart of the NPT / cost vs selected wells.
- IMPORTANT: Need to show a similarity score that matches the criteria, cost & time involved in building that well.
- Drilling down in one of the wells will allow users to see more details about that well.
- Provide a way for the user to design the prospect well (probably a button to move forward).

3) Prospect Well Details:
- This page needs to show the details of the prospect well
- Keep this page as simple as possible, it will show the engineering drawing of the prospect well along with other important details like NPT, Cost, Timeline it took to drill, and you can include details for the other parameters from the search criteria.

4) Design the New Well:
Reference: Screen 3 in Wireframe.pdf (not a detailed wireframe)
- Users will be able to see the prospect well design from the top 5 wells.
- This tool will automatically match the appropriate wells that match into different hole sections and generate a design for the new well.
- We need a way to accept or reject the proposed design
- NOTE: A well can be segmented to different hole sections depending on the type of rock that is being drilled, so the tool should match different wells for a particular hole section.
- Provide a way for the user to manually adjust provided solutions by rearranging (dragging & dropping) the matching well design into the prospective well design. Algorithms should be able to continuously learn from the choices a User makes. For example, if for a new perspective well, Algorithmic solution recommends well A and the user rejects the recommendation and selects well B, the algorithm should learn from that choice. Perhaps provide certain weights for choices based on feedback from User.
- Provide a way for the user to save the well design with a name.

5) Manage Wells:
- Users should be able to view the list of all the wells that have already been designed.
- Provide a way for the user to search and filter through the wells that have been designed.
- Need a way to edit & delete the well.

IMPORTANT
Keep things consistent. This means all graphics styles should work together
All of the graphics should have a similar feel and general aesthetic appearance

MARVEL PROTOTYPE
We need you to upload your screens to Marvel App
Please request for marvel app in the challenge forum
You MUST include your Marvel app URL (in your marvel app prototype, click on share and then copy the link & share it with your notes/comment on this link while you upload)

SUBMISSION AND SOURCE FILES
Submission File
Submit all JPG/PNG image files based on Challenge submission requirements stated above

Source File
All source files of all graphics created in either Adobe XD or Sketch or Figma and saved as an editable layer

Declaration File
Declaration files document contains the following information:
- Stock Photos Name and Source Links from an allowed sources
- Stock Art/Icons Name and Source Links from an allowed sources
- Fonts Name and Source Links source from an allowed sources
- MarvelApp share link for review

FINAL FIXES
As part of the final fixes phase, you may be asked to modify content or user click paths