Ama Petroleum Geology 09

Automated Mineral Analysis Of Subsurface Rock Samples Geological and Petrophysical Applications Mike Dowen Ammtec Engineering & Technology Services

Company Profile • Established in 1979, Perth based,200 staff • One of the largest Metallurgical and Mineral testing company’s in the world • Analytical services • Gold assay • Production plant design & testing • Mineralogy (mining and Oil & Gas) • Clients include most of world’s major mining and Oil and Gas companies •

Mineralogy Division

AMA Applications – Petroleum – Mining – Mineral Processing – Coal (CBM) – Forensics – Environment – Planetary exploration

• AMA Image Analysis QEMSCAN Mineral Map BSE Image Cu Silicate & Fe ox/hydrox (Cu) association

AMA Capabilities – Measure any inorganic and some organic material – Small particles from 1 micron to 2000 microns – Large particles from 2000 microns to 3 cm – Large sections from 3 cm to 15 cm (inc. drill core)

AMA Outputs AMA Outputs calcite • Mineral Maps • Quantitative mineralogy • Mineral Logs – Rapid 1 mm – Non Destructive quartz – Reproducible – Statistically sound – 000’s particles per sample pyrite – 2um resolution

iDiscover software Suite • Unique software suite • Automatic and integrated data handling • Easy to use • Rapid report generation

Texture Spacing Point Effect of Pixel Resolution 5µm 10µm 50µm 100µm Modal mineralogy Time 5hrs 1.25hrs 5mins 3mins

Particle view 1000 µm

Modal Mineralogy

Detailed Lithotyping

Litho-log

Clay Types & Volume 4300 Depth m 4350 4400 0 10 20 30Volume (%)

Reservoir Quality

Grain Size Estimation X X X X X X X X Uses the stereological ratio Surface area XX X X X X X X X X X XX X XX X X X X X / Volume X X X X X X X X XX X X X X X X X X X X X X X Expects random size and orientation of X X X X X X the cuttings X X XX X X X X X X X X X X X AMA calculates the average surface area X X X X XX XX of all grains in the sample X X AMA measures thousands of grains in a X X XX 200 54 single sample providing a statistically robust average grain size. Optical Grain Size (um) 30 Optical 42 QEMSCAN® 100 QEMSCAN 5um scan QEMSCAN 20um scan 0 0 100 200 QEMSCAN Grain Size (um)

Quartz Grain Size 0 160 4.2 Depth km 2mm Sandstone % 4.8 0 80 Loose Qtz & feldspar %

Zircon 1000 µm

Zircon Abundance Zircon Area % 0 0.1

Cementation 1000 µm 1000 µm

Fossils 1000 µm

Swarf 1000 µm 1000 µm

Intergranular porosity 1000 µm

Intergranular porosity

Glauconite in Claystone

Basker Wells a Case Study

Project context- the Gippsland Basin History of drilling in the Basker field Well Type Date TD(m) Basker-1 Discovery 1983 3991 Basker-2 EPT/Production 2005 3414 Basker-3 Production 2006 4125 Basker-4 Production 2006 3636 Basker-5 Production 2006 3640

Drilled sequence overview 1020 m Gippsland Limestone 2210 m Latrobe Group 3640 m

Modal summary Minerals Quartz Plagioclase Feldspar Alkali Feldspar C lays Glauconite Dolomite C alcite Micrite Fe Sulphide Siderite Rutile/Anatase Apatite Pyroxene Amphibole Ankerite Zircon Halite Sulphates Others

Modal summary Minerals Quartz Plagioclase Feldspar Alkali Feldspar C lays Glauconite Dolomite C alcite Micrite Fe Sulphide Siderite Unconformity Rutile/Anatase Apatite Pyroxene Amphibole Ankerite Zircon Halite Sulphates Others

Reservoir Quality Grain Size Quartz Plagioclase Feldspa Alkali Feldspar C lays Glauconite Dolomite C alcite Micrite Fe Sulphide Siderite Rutile/Anatase Apatite Pyroxene Amphibole Ankerite reservoir Zircon Halite Sulphates Others reservoir

Reservoir Quality Minerals Grain Size Possible reservoir Minerals Possible reservoir Background Quartz Dolomite Calcite Micrite Alkali Feldspar Illite Possible Chlorite reservoir Pyrite Kaolinite Siderite Barite Possible Rutile reservoir Apatite Gypsum Others

Depositional and diagenetic environments Pyrite and Kaolinite Chlorite Apatite Siderite Unconformit Minerals y Background 2nd possible Quartz event Dolomite Calcite Micrite Alkali Feldspar Illite Chlorite Pyrite Kaolinite Siderite Barite Rutile Apatite Gypsum Others

Applications Mineral Litho stratigraphy Cross Well correlation Seal rock characterisation Depositional modelling Reservoir Quality, net to gross Petrophysical evaluation  Log replacement / calibration

Rig Site Instrument

AMA Users

Automated Mineral Analysis

Ama Petroleum Geology 09

0 comments

Notes on slide 1

Favorites, Groups & Events