Morpheus OS
Map a workflow

Delivered client workflow — anonymised · Customer-scoped dashboards · Expert-led interpretation

A diagnostic dashboard the customer can explore.

A delivered workflow turns well-completion data into an interactive customer diagnostic, with expert interpretation beside the results. Each customer sees the wells covered by its access permissions. The expert sets the commercial threshold, while completed project data becomes searchable context for future work.

9
customer-facing diagnostic views
Customer-scoped
wells and access within each login
Reusable data
completed jobs searchable across projects

Chapter 01 / 06

The result

The dashboard turns a multi-step deliverable into a customer-facing diagnostic surface.

Workflow context and documented result

A tracer diagnostics provider for well completions rebuilt its customer deliverable on MorpheusOS. Turning a job’s recovery data into something a customer could actually use took two to four people, two to four separate files and systems, and one to two weeks — and the larger cost arrived after delivery, in explaining the same result again for every customer and every question. The deliverable is now an interactive dashboard generated from the same data: the customer opens their own wells, compares stages across pads, counties and basins, adjusts the offset-communication threshold, and generates the report on one click. The provider’s accumulated project data became searchable across jobs — an asset that can stand alongside production logs rather than a folder of finished work.

The numbers, with their baselines.

Every figure below is an operating fact, read off the running workflow against the business’s own prior process. The account is anonymised; the operating record supplies the evidence.

People per deliverable

Before
2–4, across technical and commercial roles
After
One

Files and systems touched

Before
2–4
After
One dashboard

Data preparation to customer-ready

Before
1–2 weeks
After
Generated from the deliverable data

Deliverable format

Before
Spreadsheet, plots, PDF report
After
Interactive dashboard

Interpretation

Before
Requires an expert to explain it
After
Embedded, on selection

The report

Before
Assembled by hand
After
One click — PDF, email or CSV

Explaining after delivery

Before
Repeated per customer, per question
After
The customer answers it themselves

Project data after the job

Before
Isolated in a folder
After
Searchable across projects

Commercial nature of the deliverable

Before
A technical report
After
A product the customer logs into

Cost of more jobs

Before
More explanation
After
The same dashboard structure

Eleven steps between a good result and a customer who understands it.

A job produced genuinely valuable tracer recovery data. Getting that value into a customer’s hands was a separate project every time, and it ran on people.

Assemble and visualise

Organise the raw or processed data, prepare the visualisations, and generate the plots — per job, per well, per pad.

Interpret, stage by stage

Read the stage-level results, then explain oil response, water response and total recovery in terms the customer’s own operation would recognise.

Show the movement

Time progression across stages, offset responses, and the potential interwell communication that follows from them.

Package it

Turn the findings into a customer deliverable — spreadsheet, plots, report — using templates that had to be adapted each time.

Then support it

Follow-up conversations, clarifications, and re-explanation whenever the customer wanted to look at a different stage or compare a different well.

Then sell from it

Convert the technical result into a commercial next step: the proposal, the next job, the follow-on scope.

Excel, PDF, email, internal data files, plotting tools, shared folders, reporting templates and customer communication channels — two to four people, one to two weeks, for one customer deliverable.

End of chapter 1 · The result

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Chapter 02 / 06

Interpretation

The method and its explanation travel with the data instead of being reconstructed after handoff.

Make the interpretation part of the deliverable.

The customer received something valuable. What they did not receive was the ability to interrogate it. Every question that followed came back to the people who had built it.

The deliverable did not answer back

Wanting to understand one stage, compare two wells, look at time progression or explore an offset response meant another conversation with the provider.

Explanation did not scale

More jobs produced more explanation. Growth in the work arrived as growth in the hours senior technical people spent narrating results they had already delivered.

Static output, static relationship

A report is read once. A surface a customer keeps opening is a different commercial relationship — and a different basis for the next job.

End of chapter 2 · Interpretation

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Chapter 03 / 06

Nine diagnostic views

The customer can inspect recovery, response, progression and offset context in one dashboard.

Nine views, and the interpretation comes with them.

A customer clicks a stage and sees what the result means. They compare wells across pads, counties and basins, find where contribution is strongest, see where variability is occurring, and read where offset responses suggest communication.

Stage-by-stage recovery

Tracer recovery per stage, with interpretation on selection.

Oil and water response

Separated, per stage, with total contribution alongside.

Time progression

Stage-to-stage variation as it develops, not as a single snapshot.

Offset well response

Adjustable threshold, recalculated live as the operator moves it.

Change heat map

Percentage and absolute, across the pad.

Interwell flow indicators

Where the data suggests communication between wells, and how strongly.

Well comparison

Stacked, individual, or the full table — every well, pad and project on the account.

Automated interpretation

The provider’s own method, applied consistently to every well that runs through it.

One-click report

PDF, email or CSV — all wells or one — generated from what is on screen.

End of chapter 3 · Nine diagnostic views

Related guide in LearningGoverned workflows ↗

Chapter 04 / 06

The customer experience

The same data produces an interactive per-customer experience and one-click report output.

From deliverable data to a customer surface.

The same data that used to become a file becomes a dashboard, on the provider’s terms.

  1. 01 · Ingest

    The job’s processed tracer data arrives in the structure the workflow expects — the same data that previously fed the spreadsheet.

  2. 02 · Validate

    Stages, wells, pads and projects are resolved and checked. What is incomplete is named as incomplete rather than rendered as zero.

  3. 03 · Apply the method

    The provider’s interpretation logic runs — the same judgement one analyst used to apply by hand, now applied identically to every well.

  4. 04 · Generate

    The customer’s dashboard is built across every well, pad and project on their account.

  5. 05 · Provision

    Access by login or direct link, scoped to that customer’s own data and nothing else.

  6. 06 · Report on demand

    The customer generates the report themselves, from the view they are looking at.

End of chapter 4 · The customer experience

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Chapter 05 / 06

Reusable project data

Completed jobs remain searchable across projects, turning historical work into an asset for future analysis.

Each job leaves reusable context.

The same architecture that serves a customer serves the provider. Historical and ongoing projects are held in one structure the team can analyse across — which changes what the accumulated data is worth.

Every job, retained

Historical and ongoing projects stored and managed in one place, rather than dispersed into per-project folders once delivered.

Analysis across projects

The team can run comparisons the individual deliverables never permitted — across pads, counties, basins and completion designs.

A commercial asset in its own right

An accumulated tracer database becomes searchable intelligence that can be offered as an alternative or a complement to production logs and PLTs — a second product built from work already done and already paid for.

End of chapter 5 · Reusable project data

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Chapter 06 / 06

Judgment and questions

The workflow carries the right-answer work while the provider sets the commercial interpretation threshold.

Four repeatable parts of the run.

The science did not move. What moved is how much senior technical time it takes to get the science in front of the person who paid for it.

Assembling

Organising the raw or processed data into the shape a deliverable needs, per job, per well, per pad.

Plotting

Generating the visualisations by hand, then regenerating them when the customer asked to see a different cut.

Formatting

Packaging findings into a report template that had to be adapted for every customer and every job.

Re-explaining

Answering the same question about stage contribution, well comparison or offset response for the fifth customer in a row.

The threshold is a commercial decision, so a person sets it.

An interpretation threshold is not a technical constant. Where the line sits between a signal and noise determines what the provider is prepared to tell a customer, and that is a judgement about the relationship as much as the data.

How aggressive to be

The provider sets the offset-communication threshold, or leaves it adjustable for the operator with live recalculation. Either way it is chosen, not assumed.

The unusual result

When a stage behaves in a way the method has not seen, it goes to a person — and what that person concludes becomes part of the method.

The commercial next step

Which findings warrant a conversation, a follow-on scope or a different completion approach. The dashboard surfaces the evidence; the provider makes the call.

What people ask about this build.

Answered against the run record, not the intention.

What did a customer deliverable take before MorpheusOS?

Two to four people, two to four separate files and systems — Excel, PDF, email, internal data files, plotting tools, shared folders, reporting templates — and one to two weeks from data preparation to customer-ready delivery. The dashboard is now generated from the same deliverable data.

What can the customer see without asking an analyst?

Stage-by-stage tracer recovery, oil response, water response, total contribution, time progression, offset well response, heat maps, interwell flow indicators and automated interpretation — across every well, pad and project on their account. They can compare wells across pads, counties and basins, and generate the report themselves.

Who decides how aggressive the interpretation is?

A person. The provider sets the offset-communication threshold, or leaves it adjustable for the operator with live recalculation. Where the line sits between a signal and noise stays a human decision, because it is a commercial judgement as much as a technical one.

Does this replace the technical expert?

No. It replaced the part of the expert’s work that had a right answer — assembling the file, generating the plots, formatting the report, and explaining the same result for the fifth time. The interpretation method itself was codified, which is why the dashboard carries views the original spreadsheet never had.

What happens to the data after a job is delivered?

It stops being disposable. Historical and ongoing projects are held in one structure the team can analyse across, which turns an accumulated tracer database into searchable intelligence — an asset that can be offered as an alternative or complement to production logs and PLTs, rather than a folder of finished jobs.

Is every customer’s data separated?

Yes. Each dashboard has its own login structure — individual customer dashboards, internal dashboards, management dashboards, sales-demonstration dashboards, and account-specific dashboards for strategic clients — so what a customer reaches is their own wells and nothing else.

Map a workflow like this   All case studies

End of chapter 6 · Judgment and questions

Related guide in LearningOperating memory, explained ↗

Apply it to your business

Start with one piece of work.

Bring the process, the evidence and the person who owns the decision.

Map a workflow ↗