Uses (and abuses) of ore deposit models in mineral exploration
Kimberlites and lamproites: primary sources of diamond
A model for bonanza gold deposit
Sediment-hosted stratiform copper deposits
Skarns and skarn deposits
Bauxite
Porphyry copper deposits
Genetic considerations relating to some uranium ore deposits
Genetic considerations relating to some uranium ore deposits. Part 2. Models for uranium ores in sandstones and in carbonaceous pellets
Sedimentary-type stratiform ore deposits: some models and a new classification
A model for granophile mineral deposits
Mississippi valley-type lead-zinc deposits
Magmatic segregation deposits of chromite
Volcanogenic massive sulphidae deposits. Part 1. A descriptive model
Disseminated gold deposits
A Canadian cordilleran model for epithermal gold-silver deposits
Archean lode gold deposits
The platinum group element deposits: classification and genesis
Unconformity-type uranium deposits
Volcanogenic massive sulphide deposits. Part 2. Genetic models
Plate tectonics and mineral deposits: a view from two perspectives
Remote sensing in mineral exploration – case histories

The Global Optimiser used by Whittle Consulting has gone through three major versions to date. The first was based on the Milawa optimisation algorithm; it worked, but had many shortcomings. The second, known internally as ProberA, had a different approach to optimisation in that it used a series of random starting points and found the nearest local NPV maximum to each.

1. Beyond Naпve Optimisation 
2. Integrated Mine Evaluation — Implications for Mine Management
3. Using Real Options to Incorporate Price Risk into the Valuation of a Multi-Mineral Mine
4. Roadblocks to the Evaluation of Ore Reserves — The Simulation Overpass and Putting More Geology into Numerical Models of Deposits
5. Quantification of Risk Using Simulation of the Chain of Mining — Case Study at Escondida Copper, Chile
6. Integrated Strategy Optimisation for Complex Operations
7. Simulation of Orebody Geology with Multiple-Point Geostatistics — Application at Yandi Channel Iron Ore Deposit, WA and Implications for Resource Uncertainty

В монографии излагаются геологические, методические и математические основы моделирования тел твердых полезных ископаемых. В этом плане в ней рассматривается типизирование строения тел полезных ископаемых и анизотропия как основа для моделирования их структуры, некоторые стороны механизма генезиса тел полезных ископаемых, характер и природа наблюдаемой изменчивости параметров тел полезных ископаемых, а также факторы, ее определяющие. Разбираются некоторые теоретические вопросы опробования. Даны математические модели наблюдаемой изменчивости, ее количественная оценка и классификация. Определена роль геологического анализа при применении математики и др.
Книга рассчитана на широкий круг геологов и геохимиков, а также геофизиков и маркшейдеров, связанных с изучением и разведкой месторождений полезных ископаемых.