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Economics & Reserves

11 economics and reserves workflows for NPV, breakeven, AFE, FDP, lease analysis, minerals, sensitivity, and Monte Carlo cases. Engineers and analysts can tie forecasts, costs, ownership, and price decks to ranked capital decisions.

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What it solves

Connect engineering forecasts to investment decisions quickly

Economic ranking depends on 8 assumptions that change fast: forecast, capex, LOE, price, differential, tax, timing, and working interest. This suite keeps those drivers explicit so teams can compare wells, leases, and development cases without burying the engineering basis inside a finance workbook.

Use it for well valuation, AFE checks, LOE benchmarking, field development plans, lease analysis, mineral valuation, sensitivity, and Monte Carlo economics. Outputs are built for investment review: PV10, NPV, payout, breakeven, tornado drivers, probability ranges, and case assumptions.

Who it's for

  • Reservoir and production engineers translating 1-well or field forecasts into PV10 and payout cases
  • Asset managers ranking wells, projects, leases, and development timing across price and cost decks
  • Commercial, reserves, and A&D analysts testing WI/NRI, price, cost, and reserve sensitivity before approvals

What you can do

Convert forecasts, cost assumptions, and ownership terms into transparent economic cases and sensitivity ranges.

Value producing wells

Combine production, price, LOE, differential, and ownership assumptions into NPV and payout views.

Estimate capital exposure

Build AFE-level checks and well cost estimates before committing development capital.

Benchmark operating costs

Compare LOE assumptions across wells, fields, and scenarios to expose value leakage.

Run uncertainty cases

Use Monte Carlo and tornado sensitivity to show which assumptions actually move project value.

Compare development plans

Evaluate timing, well count, capital schedule, and production response across field development options.

Support reserves decisions

Tie economics to reserves and commerciality assumptions for internal review packages.

Assess leases and minerals

Model lease terms, mineral interests, and valuation sensitivities for transactions or negotiations.

Prepare decision-ready summaries

Create clear economic outputs for management, reserves, and investment committee reviews.

What’s behind the wall

A purpose-built workflow stack for the specific decisions this discipline runs daily. Specific workflows aren’t listed publicly — every paid customer gets a guided walkthrough of what’s there before they commit. The $1,000 / 30-day intro counts toward your first month if you continue.

60 sec

From raw data to a screened result you can take to the next decision-maker.

One-page report

PDF or XLSX output that drops straight into the standard engineering toolchain your audit firm already uses.

Named engineer

Pro tier ($2,499/mo) includes a Stanford-PhD reservoir engineer on retainer, capped 1–2 hrs/mo for your workflows.

Compare: legacy reserve-evaluation cycles run 4–8 weeks at $50–250K per engagement. Subscription seat licenses for the major commercial DCA platform start at $40K+/seat/yr. Our intro is $1,000 for 30 days, applied as credit toward the first month if you continue.

Book a guided walkthrough Get 30-day access — $1,000

How customers use this

Defensible answer before a review

An engineer brings raw production, pressure, or operating data into the workspace and leaves with a screened result that can be defended in front of the asset team, audit committee, RBL banker, or A&D buyer — without a multi-week consulting engagement.

Independent second opinion in 72 hours

When the deadline is the LOI clock, the credit-committee date, or the next reserves cycle, the suite turns existing public and operational data into a red-flag memo and one-page report that lets the decision-maker move with confidence in days, not weeks.

Engineering Context

Built on validated petroleum engineering correlations

Economics workflows turn forecasts, costs, ownership, price decks, sensitivities, reserves categories, and investment assumptions into review-ready valuation outputs.

Public docs explain the engineering context and interpretation. Implementation details, validation logic, and production workflows remain private.

Frequently asked questions

Can engineers use this without a finance model?

Yes. The workflows expose the core assumptions engineers usually control: forecast, uptime, costs, LOE, price deck, differential, ownership, and timing. Finance teams can still review the economics, but the engineering case is transparent from the start.

Can I try before buying?

Yes. Run the public sample workflow above with our sample data. To use your own data, save runs, and export reports, you'll need a Standard subscription.

What's the difference between Standard and Pro?

Standard covers single-well, single-run analyses with saved results and standard exports. Pro adds advanced workflows such as batch analysis, probabilistic outputs, type curves, Monte Carlo, advanced reports, and priority support where those workflows are available for the suite.

Is my data private?

Yes. Uploaded files and saved runs are scoped to your account, encrypted in transit (HTTPS) and at rest. We do not share or sell your data. Enterprise customers can opt for private workspace deployment with private workflows.

Choose your plan

Intro — 30 days

$1,000 one-time

applied as credit toward first month

  • Full suite access for 30 days
  • Run on your real data
  • Saved runs + standard exports
  • $1,000 credit if you continue
Get 30-day access

Standard

$999/mo

per user

  • Full suite access
  • Real data input & file upload
  • Saved runs & exports (CSV, PDF)
  • Email support from Groundwork Analytics
  • Maintenance & feature requests

Pro

$2,499/mo

per user

  • Everything in Standard
  • Advanced workflows + larger datasets
  • Batch + multi-asset reviews
  • Probabilistic / uncertainty outputs where applicable
  • Named Stanford-PhD reservoir engineer, capped 1–2 hrs/mo
  • Priority support for reserves-cycle deadlines

Enterprise

Custom

annual contract

  • Everything in Pro
  • Team seats (3+ users)
  • API access & data connections
  • Custom workflow development
  • Dedicated engineering hours
  • SLA & priority onboarding
  • Multi-suite bundles
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