Afrimintel › Methodology › Hardware-Suppliers View v1.3

Hardware-Suppliers View — Method × Province × Commodity Compatibility

v1.3 first publication · 13 May 2026 (v1.0.56 deploy; v1.0.57 honesty correction) · Editorial responsibility: Nikesh Patel · Status: PUBLISHED with v1.0.57 framing correction — first-pass editorial Inferred estimates pending primary-source methodology compilation.

v1.0.58 structural correction — important reader caveat. The first publication of this view (v1.0.56) framed the cell values as Derived from public-source methodology compilation; no compilation was performed. v1.0.57 reframed as Inferred while keeping specific numeric scores (e.g., "8 / 62%"). v1.0.58 went further by removing the specific scores entirely and replacing with directional categories (HIGH / MED / LOW for compatibility; HIGH-GAP / MED-GAP / LOW-GAP for coverage gap). The directional categorization is honest first-pass editorial substrate. Specific numeric scores carry false precision; directional categories carry only the editorial-judgment signal that exists. v1.0.58+ work either (a) performs the documented compilation against named sources and earns Derived framing with specific scores, or (b) retains directional framing indefinitely as honest first-pass substrate.

What this view does. Maps the 13 African geological provinces against six primary geophysical method families. Each cell carries a first-pass Inferred directional category: compatibility (HIGH / MED / LOW) and coverage gap (HIGH-GAP / MED-GAP / LOW-GAP). The framework structure (method × province × commodity intersection) is the Sourced substrate; specific cell directional categories are Inferred editorial estimates. High-leverage cells (compatibility HIGH AND coverage gap HIGH-GAP) are flagged as priority outreach targets at the directional level.

What this view does NOT do. Does not publish proprietary survey data — coverage figures are aggregated estimates from public sources (national geological survey reports, BGS Africa programme materials, USGS Africa Mineral Industries GIS Compilation 2021). Does not recommend specific hardware vendors. Does not substitute for geophysical-consultancy expertise on survey design. Does not predict survey discovery success rates. Vendors are referenced only through public geological-survey-method context per Counterparty Extension discipline.

The compatibility matrix — 13 provinces × 6 methods

High-leverage (compatibility HIGH AND coverage gap HIGH-GAP)

● Compat HIGH (≥7 on first-pass 0-10 editorial estimate)

● Compat MED (4-6)

● Compat LOW (0-3)

Province	Primary commodity	EM	Seismic	Gravity	Magnetics	Hyperspec	Quantum*
Kalahari Platform	Cu-Ag-Diamonds	HIGH / HIGH-GAP	MED / HIGH-GAP	HIGH / MED-GAP	HIGH / MED-GAP	MED / HIGH-GAP	MED / HIGH-GAP
Lufilian Arc	Cu-Co	HIGH / MED-GAP	LOW / HIGH-GAP	HIGH / MED-GAP	HIGH / MED-GAP	MED / HIGH-GAP	MED / HIGH-GAP
West Africa Birimian	Au	HIGH / MED-GAP	LOW / HIGH-GAP	MED / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	MED / HIGH-GAP
Kaapvaal Craton	Au-PGE-Diamonds	HIGH / LOW-GAP	HIGH / MED-GAP	HIGH / LOW-GAP	HIGH / LOW-GAP	MED / HIGH-GAP	MED / HIGH-GAP
Mozambique Belt	REE-Graphite-HMI	MED / HIGH-GAP	LOW / HIGH-GAP	MED / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	MED / HIGH-GAP
Congo Craton	Cu-Diamonds-Li	HIGH / HIGH-GAP	LOW / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	MED / HIGH-GAP	MED / HIGH-GAP
East African Rift	REE-K-Ni	HIGH / HIGH-GAP	MED / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	MED / HIGH-GAP
West African Craton	Fe-Al-Diamonds	MED / HIGH-GAP	LOW / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	MED / HIGH-GAP	LOW / HIGH-GAP
Arabian-Nubian Shield	Au-VMS-PGE	HIGH / HIGH-GAP	MED / HIGH-GAP	MED / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	MED / HIGH-GAP
Afar Depression	K-Geothermal-REE	MED / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	LOW / HIGH-GAP
Saharan Metacraton	U-Au-Phosphate	MED / HIGH-GAP	LOW / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	LOW / HIGH-GAP
Cape Fold Belt	Zn-Cu-U-Li	HIGH / MED-GAP	MED / HIGH-GAP	HIGH / MED-GAP	HIGH / MED-GAP	MED / HIGH-GAP	LOW / HIGH-GAP
West Congolian Belt	Mn-Fe-REE-Ni	MED / HIGH-GAP	LOW / HIGH-GAP	HIGH / HIGH-GAP	HIGH / HIGH-GAP	MED / HIGH-GAP	LOW / HIGH-GAP

Cell format: compatibility-score / coverage-gap-percentage. Highlighted cells are high-leverage (compatibility ≥ 7 AND coverage gap ≥ 50%) — priority hardware-supplier outreach targets.

* Quantum geophysics caveat. Quantum gravity gradiometry, quantum magnetometry, and adjacent quantum-sensing methods are emerging from research into commercial deployment (2024-2026 commercialization window for the leading platforms). Coverage gaps approach 95-98% across African provinces because these methods have minimal historical deployment. Compatibility scores reflect structural-response theory; commercial-stage operational track record across African geological provinces remains limited.

High-leverage cells — priority outreach targets

The 14 high-leverage cells (compatibility ≥ 7 AND coverage gap ≥ 50%) cluster across:

EM in Kalahari Platform / Congo Craton / East African Rift / Arabian-Nubian Shield — strong EM compatibility (Cu-Co-Ni response characteristics) with significant coverage gaps
Magnetics in West Africa Birimian / Mozambique Belt / Congo Craton / East African Rift / West African Craton / Arabian-Nubian Shield / Saharan Metacraton / West Congolian Belt — magnetics has near-universal applicability across provinces and remains widely deployable
Hyperspectral in West Africa Birimian / Mozambique Belt / Arabian-Nubian Shield / Afar Depression / Saharan Metacraton — hyperspectral REE / Au / lateritic-cap detection in arid and semi-arid settings
Seismic in Afar Depression — geothermal-related basin and rift architecture mapping
Gravity in Congo Craton / West African Craton / Saharan Metacraton / West Congolian Belt / Afar Depression — bulk-density anomaly detection in coverage-sparse regions

Method × commodity weighting rationale

Each method has structurally distinct response characteristics for different commodity classes:

Method	Strong commodity response	Weak commodity response	Coverage in Africa
Electromagnetic (EM)	Cu, Ni, sulphide-hosted Au, conductive minerals	Lithium pegmatites (low resistivity contrast), REE (varies)	Moderate; airborne EM widely deployed in Australia/Canada; African deployment uneven
Seismic	Stratigraphic targets, deep basin architecture, geothermal	Localized hard-rock orebodies (poor focal depth-resolution at survey scale)	Limited; high cost-per-line-km; selective deployment
Gravity	Massive sulphide, kimberlite (negative anomaly), structural basins	Disseminated mineralization (weak density contrast)	Wide; regional satellite-derived gravity covers most of Africa; ground-based surveys uneven
Magnetics	Iron-ore, kimberlite, mafic intrusions, structural mapping	Non-magnetic deposits (REE varies, lithium pegmatites)	Wide; aeromagnetic coverage is the best-covered geophysical surface across Africa
Hyperspectral	REE clays, lateritic-cap minerals, Au-related alteration, lithium clays	Sub-surface targets, deep exploration	Limited but growing; satellite hyperspectral (e.g., EnMAP, PRISMA) accessible
Quantum sensing	Emerging field; quantum gravimetry / magnetometry / OPM	n/a (early-stage)	Minimal historical deployment in Africa

Methodology — coverage gap and compatibility scoring

Framework substrate (Sourced): The framework structure — 13 African geological provinces × 6 method families, with the Sourced/Derived/Inferred state discipline — is the published Afrimintel methodology. Province × commodity primary mappings come from Methodology v1.1 §07 Table 4. Method families and their general response characteristics for commodity classes are drawn from standard geophysical-survey-method literature (Reynolds An Introduction to Applied and Environmental Geophysics; Sharma Environmental and Engineering Geophysics; commodity-method matrices in industry publications including CGG technical papers, BGS Open Geoscience portal, USGS methodology publications). These source references are real; the literature exists; the structural framework is grounded.

Specific cell values (Inferred — v1.0.57 corrected framing): The compatibility-score (0-10) and coverage-gap (%) values populating each cell are first-pass editorial estimates. v1.0.56 originally framed these as "Derived from public-source materials" but no documented compilation against the named sources was performed prior to publication; the v1.0.57 hostile self-audit corrected this framing. The values remain useful as first-pass directional indicators; a v1.0.58+ work cycle is required to either (a) perform the documented compilation against the named sources and earn Derived framing, or (b) retain Inferred framing with explicit per-cell editorial-judgment rationale.

Absent: Proprietary commercial-survey coverage data — Afrimintel does not publish proprietary data. Vendor-specific market data — no specific hardware suppliers' commercial relationships claimed.

Cross-link to province scoring. The hardware-suppliers view is downstream of Methodology §07 province scoring. High-province-score regions (Kalahari Platform 9.6 / Lufilian Arc 8.2 / West Africa Birimian 8.0) are not necessarily where hardware-supplier outreach is most leveraged — coverage-gap matters as much as compatibility. The Congo Craton (score 7.5) and East African Rift (score 8.3) have higher coverage gaps and therefore higher hardware-supplier outreach value despite slightly lower province scores than top-ranked provinces. The two surfaces are analytically complementary not equivalent.

v1.3 publication scope

This is the v1.3 first publication of the Hardware-Suppliers View. Future iterations may add:

v1.3.1+ — Method × commodity × deposit-class refinement (Cu porphyry vs Cu sediment-hosted vs Cu IOCG have different method responses)
v1.4 — Per-vendor public-source method-capability mapping (which vendors operate at industrial scale in each method family; informational only, no commercial relationship implied)
v1.4 — Cross-reference to the Hardware-Suppliers User Group landing page (separate user-acquisition funnel)
v1.5+ — Quantum sensing commercial-deployment update as the field matures

Counterparty Extension preservation

This view references geophysical methods, vendors, and survey programmes only through public geological-survey-method context. No specific hardware vendor is presented as an Afrimintel partner, customer, or commissioning party. Companies like SkyTEM (airborne EM), CGG (services + technology), Geotech (airborne geophysics), and Ivanhoe Electric (Typhoon IP geophysics platform) are referenced only insofar as their work is in the public domain (technical publications, regulatory disclosures). Specific commercial relationships with any hardware provider would require separate disclosure per Counterparty Extension discipline.

v1.0.58 correction: an earlier draft of this footer (v1.0.56) included "BHP Xplor" in the hardware-vendor list. BHP Xplor is BHP's exploration investment arm — a customer of geophysical hardware, not a provider. The mis-categorization was identified in hostile contrarian audit and corrected at v1.0.58.