Synthetic case explorer

AsterWell Operations

See the cost of time

Compare drilling duration, fuel use and estimated carbon under stated assumptions.

Explore the evidence

Select a precomputed synthetic case, inspect input assumptions and download its JSON evidence or result CSV.

Open AsterWell Operations explorer →

What this edition demonstrates

Interval divided by penetration rate, with nonproductive time applied to total duration.

Illustrative planning arithmetic; no well-control or safety decisions.

The public website hosts a read-only synthetic projection. The full authenticated source application and its Git history are maintained privately.

All fixtures are fictional. No sign-in, customer records, operational writes or paid external model calls are involved.

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MATHEMATICAL SPECIFICATION & UNITS

Governing Equations, Inputs, Outputs & Dimensional Conventions

AsterWell Operations executes deterministic client-side calculations in the browser. Every scenario is governed by explicit mathematical formulations and unit checks:

Drilling Time T_drill = Interval (m) / ROP (m/h); Total Duration T_total = T_drill / (1 − NPT_pct/100); Fuel (L) = T_total × Fuel_Rate (L/h); Emissions (tCO2e) = Fuel (L) × EF (kgCO2e/L) / 1,000; Cost = Fixed_Cost + (T_total / 24) × Daily_Rate

Declared Units & Arithmetic Conventions: Interval in metres (m); rate of penetration (ROP) in m/h; nonproductive time (NPT) in %; duration in hours (h) and days (d); fuel in litres (L); carbon emissions in metric tonnes CO2e (tCO2e); cost in assumed USD.

Scope & Operational Boundary: Drilling duration, fuel and carbon estimation using interval, penetration-rate and nonproductive-time assumptions. Not logistics dispatch, well control or operational safety guidance.

Launch Interactive AsterWell Operations Runtime → · Read Full Methodology & Validation Notes → · Download JSON Dataset (run/catalog.json)

REPRODUCIBLE WORKED EXAMPLE & BENCHMARK TABLE

Verified Case Study & Held-Out Reference Table

Worked Verification Case: Case 1 (800 m interval, ROP = 10 m/h, NPT = 10%, Daily Rate = 24,000 USD/d, Fixed Cost = 50,000 USD, Fuel Rate = 180 L/h, EF = 2.68 kgCO2e/L): Net drilling time = 80.0 h; with 10% NPT, T_total = 80 / 0.9 = 88.89 h (3.704 days). Total Fuel = 88.889 × 180 = 16,000 L; Emissions = 16,000 × 2.68 / 1,000 = 42.88 tCO2e; Estimated Cost = 50,000 + 3.7037 × 24,000 = 138,888.89 USD.

Reproducible benchmark scenarios shipped in the AsterWell Operations browser edition (Synthetic / Precomputed Evidence)
Case	Interval (m)	ROP (m/h)	NPT (%)	Total Time (h)	Fuel (L)	Emissions (tCO2e)	Est. Cost (USD)
Case 1 (Baseline)	800	10.0	10%	88.89	16,000	42.88	138,888.89
Case 2 (Hard Formation)	1,200	8.0	15%	176.47	31,765	85.13	226,470.59
Case 3 (High Efficiency)	800	12.5	5%	67.37	12,126	32.50	117,368.42

DOMAIN MODULE SUITE

Specialized Companion Applications on mkworks.co.business

To preserve topical focus and distinct search intent, mkworks.co.business hosts the following dedicated companion modules under canonical subpaths:

MinuteHarbor

Canonical Path: /minuteharbor/

Integer-cent allocation and reconciliation on fictional meeting records.

Boundary: Not a certified accounting system, legal compliance or live organizational records.

Module Overview & Math → · Launch Interactive App ↗

PROCEDURAL USAGE GUIDE

How to Use AsterWell Operations in 3 Reproducible Steps

Select a Baseline Scenario or Practice Module: Open the interactive browser runtime and choose one of the shipped synthetic presets or diagnostic modules to load its verified input parameters and unit declarations.
Inspect Intermediate Traces & Constraints: Review the computed ledger, error diagnostics (MAE/RMSE/margin/balance checks), or bilingual explanations alongside the governing equations documented on mkworks.co.business/methodology/.
Export Portable Evidence (JSON / CSV): Export your scenario results, assumptions, or local study plan as a self-contained JSON or CSV file for offline verification and local re-import.

FREQUENTLY ASKED QUESTIONS

Methodological & Boundary FAQs

What mathematical model and units does AsterWell Operations use?

AsterWell Operations applies Drilling Time T_drill = Interval (m) / ROP (m/h); Total Duration T_total = T_drill / (1 − NPT_pct/100); Fuel (L) = T_total × Fuel_Rate (L/h); Emissions (tCO2e) = Fuel (L) × EF (kgCO2e/L) / 1,000; Cost = Fixed_Cost + (T_total / 24) × Daily_Rate. Units: Interval in metres (m); rate of penetration (ROP) in m/h; nonproductive time (NPT) in %; duration in hours (h) and days (d); fuel in litres (L); carbon emissions in metric tonnes CO2e (tCO2e); cost in assumed USD.

What are the operational boundaries and limitations of AsterWell Operations?

Drilling duration, fuel and carbon estimation using interval, penetration-rate and nonproductive-time assumptions. Not logistics dispatch, well control or operational safety guidance. All computations run deterministically in the browser on synthetic or precomputed demonstration fixtures.

How can I reproduce the benchmark results in AsterWell Operations?

Open the interactive browser workspace at ./run/, select Case 1 to inspect the worked result (Case 1 (800 m interval, ROP = 10 m/h, NPT = 10%, Daily Rate = 24,000 USD/d, Fixed Cost = 50,000 USD, Fuel Rate = 180 L/h, EF = 2.68 kgCO2e/L): Net drilling time = 80.0 h; with 10% NPT, T_total = 80 / 0.9 = 88.89 h (3.704 days). Total Fuel = 88.889 × 180 = 16,000 L; Emissions = 16,000 × 2.68 / 1,000 = 42.88 tCO2e; Estimated Cost = 50,000 + 3.7037 × 24,000 = 138,888.89 USD.), and export the JSON or CSV evidence ledger.

PROVENANCE, ATTRIBUTION & RESEARCH ECOSYSTEM

Engineering Attribution & Interconnected Research Hub

Authored and maintained by Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist). Canonical URL: https://mkworks.co.business/ · Source revision: verified-rel · Runtime SHA-256 prefix: verified-sha256 · Repository provenance: https://github.com/mohammadrezwankhan/asterwell-operations (private source engine; public deterministic browser projection).

Application Metadata (app.json) · AI / LLM Discovery Guide (llms.txt) · Full Technical Corpus (llms-full.txt) · Semantic Knowledge Graph (knowledge-graph.jsonld)