Could a Global Flood Produce All Earth’s Oil?
Description
🔥 Why this study matters Can vast petroleum systems form fast? This paper integrates lab results, natural hydrothermal analogs, and global carbon mass-balance to test whether Earth’s ~9 trillion barrels of petroleum-equivalent hydrocarbons (including oil shale + tar sands) could arise within a young-Earth timeline under catastrophic conditions. ⚡ Core claim (TL;DR) Given (1) a far more productive pre-Flood biosphere, (2) rapid, anoxic burial, and (3) short-lived but intense thermal/tectonic pulses, petroleum can be generated, expelled, migrated, and trapped in years to decades—with unconverted organics remaining as coal and kerogen. Modern geochemistry shows reaction rates scale with heat/pressure, not calendar time. 🔍 What’s inside Mass-balance accounting: Converts global reserves (~3 T bbl conventional + ~6 T bbl shale ≈ ~9 T bbl) to required biomass using ~10,000:1 conversion baselines; explores higher-efficiency scenarios under catastrophic conditions. Pre-Flood productivity: Paleo-oxygen, fossil gigantism, and vegetation reconstructions support 100–1,000× modern biomass; floating-forest/wetland models address coal and lignite volumes. Rapid generation evidence: Laboratory oil formation in days–years under elevated T/P. Natural analogs (e.g., hydrothermal systems like Guaymas Basin) producing gasoline-range hydrocarbons today with radiocarbon-measured young oils. Pathways & partitions: Why most fossil organic matter persists as kerogen, a smaller share as coal, and a fraction as oil/gas—and how tar sands fit as degraded oils. Comparative framework: Side-by-side of YEC catastrophic vs conventional gradualist models; notes on abiogenic contributions as a potential minor source. 📊 Figures & visuals overview Petroleum resource breakdown (crude, shale, tar sands) Biomass requirements: conventional vs accelerated (log-scale) Radiometric summaries of “young” oils Biotic vs abiotic formation pathways Pre-Flood biomass scenarios (modern, 10×, 100×, 1,000×) Timescale comparison (millions of years vs years–decades) 🧪 Key takeaways Rates are conditional: With sufficient heat/pressure, oil-forming reactions do not require geologic ages. Front-loaded system: A single, global burial event can “short-circuit” decay, maximizing preservation and conversion efficiency. Consistency check: The scale, chemistry, and distribution of global petroleum are consistent with catastrophic burial plus rapid thermal processing, while explaining coal/kerogen abundance.
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Steps to reproduce
Study Type & Aim Quantitative synthesis assessing whether Earth’s total liquid + unconventional hydrocarbons (crude, oil shale, tar sands) could form within a young-Earth Flood framework via catastrophic burial + accelerated thermal maturation. Inputs (Data & Assumptions) Resource scale: Global petroleum mass from USGS-style estimates (≈3T bbl conventional; plus ≈6T bbl oil-shale equivalent). Mass conversions: 1 bbl ≈ 136–147 kg; totals expressed in tonnes. Biomass→oil ratio: Baseline 10,000:1 (literature for inefficient natural conversion), with alternative efficiencies explored for catastrophic burial. Pre-Flood biomass scenarios: ×10–×1000 modern biota; high O₂/CO₂ productivity; “floating forest/wetland” hypotheses. Rapid formation analogs: Lab hydrous pyrolysis/closed-tube heating (100–350 °C), and Guaymas Basin hydrothermal petroleum (^14C ages ~3.2–6.6 kyr). Calculations (Mass Balance & Feasibility) Convert global liquids to mass; add oil-shale equivalence → total hydrocarbon mass. Multiply by biomass:oil ratio → required organic feedstock. Vary two knobs: biomass multiplier (×10…×1000) and conversion efficiency (0.01%…10%). Map feasible regions where required biomass ≤ hypothesized pre-Flood capacity. Thermal Maturation Model (Rate Argument) Adopt Arrhenius-type intuition: higher T ⇒ faster kerogen cracking. Use published 2–6 yr lab heating paths (≤350 °C) and hydrothermal field temperatures (200–315 °C) to justify years–decades oil generation under Flood-style heating, pressure, and anoxia. Treat oil sands as post-generation biodegraded oils; oil shales as under-matured kerogen (insufficient heat-time). Evidence Aggregation Biomarkers/porphyrins (preservation under rapid burial/anoxia). Guaymas chemical parity with conventional crude; ^14C-datable young oils. Global distribution of source/reservoir/cap sequences consistent with rapid high-flux charging. Software & Workflow Spreadsheets (Excel/Sheets): unit conversions, baseline tables, tornado/sensitivity charts. Python (optional): pandas, numpy, simple Monte-Carlo on efficiency/biomass draws; matplotlib for plots. Reproducibility Steps Enter resource volumes and density ranges; export total masses. Apply biomass:oil ratios; sweep efficiency and biomass multipliers. Plot feasible region (heatmap) where totals match observed hydrocarbons. Document temperature–time envelopes from lab/Guaymas and relate to Flood heating scenarios. Archive all inputs/outputs with DOIs. Quality Control Unit audits (bbl↔kg↔tonnes); propagate min/mean/max densities. Scenario logging (seeded RNG for Monte-Carlo). Independent recalculation of two benchmark points.
Institutions
- University of Southern California