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INTRODUCTION AND PROGRESS OF UnCon PROJECT
- Assessment of Shale Energy Resources in Asia –
by Byeong-Kook Son
from KOREA INSTITUTE OF GEOSCIENCE AND
MINERAL RESOURCES (KIGAM)
UnCon12 Meeting and Workshop, Kota Kinabalu
The Unconventional Oil and Gas Project was proposed in 2014 at the 63rd Steering Committee Meeting held in Kosopo, PNG by KIGAM
PROPOSAL OF UnCon Project
The 1st phase has been done by the funding from KIGAM during 2015-2017 for 3 years
The 2nd phase just started in 2018 with the co-funding from KIGAM and KNOC, and is in progress
CCOP-KIGAM Unconventional Oil and Gas Project: 1st Phase: Mapping of black shale formations for the prediction of shale resources
UnCon Project, Phase I
Purpose: Identifying and mapping of potentially prospective shale resource basins in the CCOP region Duration: Three years from 2015 to 2017
Process
Prospective shale basin and formation selection
Shale basins and formations mapping on GIS
Shale formation data collection
field trip
Data Collection and Analysis Capacity Building
Assessment methodology
Mineral quantification method
QGIS mapping method
XRD mineral quantification
Rock-Eval Organic matter analysis
Sample Collection and Analysis
UnCon PROJECT Performance: Nine(9) meetings and workshops, field trips, training, sample analysis, and GIS mapping of shale basins and formations.
SHALE SAMPLES FROM EACH COUNTRY
Organic Properties determined by Rock-Eval Pyrolyis
TOC Kerogen Type Maturity
CRUDE ROCK MineralsKerogenGasOil
PYROLYSIS UNDERINERT CONDITION
OXIDATION
Residual Kerogen
He
O2
CO2
600 C
300 C
600 C
F.I.D.
T.C.D.
HCS0
S4
S1
S2
PYROLYZED ORG.C
RESIDUAL ORG.C
TOTAL ORG.C
Tmax
Mineral content determination by X-ray powder diffraction (XRD) with Siroquant Software
Tmax
Cambodia
Indonesia
Malaysia
Thailand
Japan
Lao PDR
Philippines
Vietnam
0 100 200 300 400 500 600 700
C-1
C-2
C-3
I-1
I-2
I-3
J-1
J-2
J-3
L-1
L-2
M-1
M-2
M-3
M-4
T-1
T-2
T-3
T-4
T-5
V-1
P-1
Overmature (?) Good
Bad
Bad
Bad
Carbonate minerals
0 0.2 0.4 0.6 0.8 1
1
0.8
0.6
0.4
0.2
01
0.8
0.6
0.4
0.2
0
CambodiaInodesia Malaysia JapanThailand Lao PDRPhilippineVietnam
Clay minerals
Quartz+ Feldspar
calcareous or dolomite mudstone
argillaceous marlstone
siliceous marlstone
argillaceous mudstone
siliceous mudstone
Comparison with US Shales
CAPACITY BUILDINGS AT PHASE I MEETINGS US case: Chris Schenk from USGS UK case: Ed Hough from BGS
Mineral quantification: Tim Black from Australia
QGIS: Kook from KIGAM
Mapping with freely downloadable SW, QGIS
ACHIVEMENTS: USB Publication
INSIDE USB
QGIS software - 64 bit and 32 bit MAP GUIDE - How to display the GIS map of shale basins
GIS maps of Shale Basins - shape files Basin Description - 46 shale basins identified
Asian Shale Basins Map on QGIS USB file: ShaleResourceMap/Asian Basin/Asian basins
Maps include Five GIS layers Basin Boundary Map (vector)
Maps include Five GIS layers Shale Boundary Map (vector)
Maps include Five GIS layers Cross Section (raster)
Maps include Five GIS layers Sample Location and Analysis Data(vector, delimited text)
Description of the Shale Basins Identified
Description of 46 Shale Basins: Basin Location Geological Setting Stratigraphy Shale Formation
MAP GUIDE
Description about How to display maps on QGIS software Install QGIS Getting Started How to display maps
WORKS for SHALE RESOURCES ASSESSMENT
Shale Formation Mapping – volume calculation Characterization – sweet spot areas determination Assessment – resources calculation
PREPARATION OF PHASE II
Asian shale basin map was successfully completed with the outcome of USB as a result of the first phase.
After that, the UnCon project went to the second phase, which is a shale resources calculation and assessment on the identified shale basins.
The 2nd Phase, Assessment of Shale Energy Resources in Asia, was launched in the last April in Bangkok
LAUNCH of Phase II
CCOP-KIGAM Unconventional Oil and Gas Project: 2nd Phase: Assessment of Shale Energy Resources in Asia
UnCon Project, Phase II
Purpose: Calculation and estimation of gas/oil amounts in the potentially prospective shale formations in the CCOP region Duration: Three years from 2018 to 2020
Shale Resources Calculation and Assessment
Shale resource estimate is fundamentally a calculation of the amount of gas or oil in the ground based on geologic information
Volumetric calculation (productive shale V) by multiplying controlling factors Shale area(subsurface) X thickness X
porosity X gas/oil saturation X temperature/pressure correction
Recovery factors generally conjectural
TWO DIFFERENT METHODOLOGY
USGS Methodology: Top-down approach Technically recoverable resource estimates based on
well technology, well performance, and well density
EIA/BGS Methodology: Bottom-up approach In-place resource estimates based on a geological
model, volumes and gas contents
In the Phase I, the UnCon Project has ever decided to follow the EIA/BGS methodology. No production data are yet available in Asia
BGS Methodology for estimating the in-place shale gas resource
SHALE VOLUME CALCULATION (UK CASE)
Identification and mapping of potentially-prospective shale gas units from well information Mapping the top and base of units to enter into a
3D model Mapping the shale component as a proportion of
the seismically mapped unit Minimum cut-off where Ro > 1.1% (max cutoff of
Ro > 3.5% never exceeded) Minimum depth cut-off
Establishing the Areal Extent of Major Shale Gas and Shale Oil Formations The regional cross-sections can be used to define the
lateral extent of the shale formation in the basin and/or to identify the regional depth and gross interval of the shale formation
Shale Resources Calculation and Assessment
In general, the total volume of potentially productive shale can be estimated using a 3D geological model, which is generated using seismic mapping, integrated with outcrop and deep borehole information.
But, the data availability is different from country to country, thus causing a problem with uncertainty.
The data-poor shale formations will lead to high-uncertainty assessments
PROCESS: First Step, Shale Volume Calculation
Selection of target basins and shale formations: 13 basins and 21 shale formations
Shale volume calculations: available data and methods based on the data availability
Available Literature and Data
Shale Volume Calculation
TARGET BASINS AND FORMATIONS
Country Selected Basins # Shale Formation Shale Type Age
1. Cambodia 1. Tonle Sap 1 Kuchinarai Group ? TRIASSIC
Si That ? Late Carboniferus / Lower Permiano
1. China 1. Si Chuan 1 Wufeng - Longmaxi Gas Upper Ordovician - Lower Silurian
1. Indonesia 1. Jambi Sub-Basin (in South Sumatera Basin) 1
Lahat Oil & Gas
Eocene Talang Akar Oligocene
1. Japan 1. Akita-Yamagata 1 Onnagawa Oil (Gas?) Late Miocene
1. Korea 1. Gyeongsang 1 Jinju Gas Cretaceous (Data Poor)
1. Lao PDR 1. Saravan-Attapeu 1 Namthong
Oil & Gas Permo-Carboniferous Nalang
1. Malaysia 1. Sarawak 1 Setap Gas Miocene
1. Myanmar 1. Salin 1 Yaw Oil & Gas Eocene
1. Papua New Guinea 1. Papuan 1
Imburu
Oil & Gas Jurassic to Lower Cretaceous Koi-Iange
Barikewa
1. Philippines 1. Visayan 1 Malubog Gas Early Miocene to Late Oligocene
Toledo Oil & Gas Middle Miocene to Late Oligocene
1. Thailand
1. Phu Phra - Mukdahan 2
Triassic Pre - Khorat Gas Triassic
1. Phitsanulok Chumsang Oil & Gas Early Miocene
1. Vietnam 1. An Chau 1
Mia Le
Gas
Devonian
Lang Son Triassic
Van Lang
PROCESS: Shale Volume Calculation
In UnCon 11, the results of calculations were presented and discussed
The calculation will be revised and updated at this workshop.
When we exchange knowledge and ideas at UnCon meetings and workshops, we can get more sophisticated calculations and thus enhance the quality of assessment
Available Data
Shale Volume Calculation
NEXT STEP: CALCULATION OF GAS AMOUNTS (Total- Gas-In-Place) IN SHALE
Free Gas Shale area X thickness X gas-filled porosity X gas
expansion factor (depth dependent) Adsorbed Gas
Area(subsurface) X thickness X rock density X adsorbed gas content of shale (volume of gas/weight of shale)
Monte Carlo Simulation Statistical calculation to determine GIIP Learn from KIGAM
LEARN FROM RESOURCE PERSON
Dr. Kyungbook Lee from KIGAM, Korea An opportunity to review the shale resource assessment
methodology and to learn how to apply the Monte Carlo Simulation to the calculations and estimations of your basins
Lectures and hands-on training Shale Resource Assessment Methodology Monte Carlo Simulation
The UnCon project have come into the Phase II Knowledge and ideas can be obtained from the
UK case. Thirteen basins and twenty one shale formations
have been selected for initial shale volume calculations, which are in progress.
Shale volume calculation will be presented and updated at UnCon 12 meeting
The Knowledge of Monte Carlo Simulation will be obtained from a resource person
Conclusions
MANY THANKS FOR ATTENTION!
UnCon12 Meeting and Workshop, Kota Kinabalu
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