Study and advanced thinking topics and what to do.pdf

ericedwin5 15 views 18 slides Jun 03, 2024
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About This Presentation

Topics


Slide Content

TOPIC
OBJECTIVE
•To determine the character of the P Wave and its comparison
with S wave when passing through the gas zone
•To get a better image under the gas layer
•Correction Amplitude, structure?
•NSD/Bentu Deep/TelisaPotential?

WORKFLOW
TIME LINE
•6 Months –Ask for detail timeline
•Which area to be analyzed?

TOPIC
OBJECTIVE
•Mengkategorikanreservoir-reservoir berdasarkanperformance (por-perm) dan log properties dari
data tes, log, dan litologi
•Future objectives:
•Membagijenis-jenisreservoir (konvensional, low resistivity, LRLC)
•MenentukanpenyebabkhususdariLR(LC) reservoir secarageologi: kondisimineralogi,
berhubungandengankondisipengendapan(HST atauLST/TST), kompleksitasproses (dari
analisisprovenance, granulometri, dll)

Kebutuhandata
•Well log: Quad combo, danlog-log lainnya
•Conventional core
•Petrography
•RCAL & SCAL analysis result
•DST result
•Granulometri
•FMI / OBMI
Utilize data
Adopt Method which has been previously evaluated

Workflow
Core / Lithology
data
Wireline Log
Conv.core
RCAL
SCAL
Petrography
Geochemistry (biomarker)
Granulometri
Reservoir
classification
DST result
Class I, II, III
Type A, B
A: conventional
B: LR
Class I: Proven (have HC flowing DST result,
good log properties)
Class II: Potential reservoir (
Geological analysis

ROCK TYPING IN SENG-SEGAT

Afternormalize
Data Preparation

Reservoir Character
Sandstone
Interlaminated sand-silt
Interlaminated clay-silt
Claystone

Parameter SelectionMixing Illite-Smectite
Smectite
Illite

Lithology Prediction
AlithologydescriptionisavailableinWellcore.
Topredictthelithologyinuncoredinterval,NDSis
used.
Themoreneutronanddensitylogseparatedpositively
isassumedcausedbytheclayboundwater.
Core description
Lithology Prediction

Reservoir Rock Typingy = 2E-13x
9.413
R² = 0.101
y = 5E-12x
8.7982
R² = 0.3482
1
10
100
1000
10000
36 37 38 39 40 41 42 43 44 45
Permeability
Porosity
Por-Perm Transform
RT2
RT1
Power (RT2)
Power (RT1) FZI Method
Winland Method

Reservoir Rock Typing

MRGC Training
Unsupervised training

Permeability Generation & Validation

J-Function Model0 2 4 8 15 35 75 200
DepthK Por
1011398.9 612 37.5 100 81.6 68.4 53.4 40.8 27 20.6 18.3
1031400.3 194 32 100 91 80.1 62.9 47.8 32.5 26.3 22.9
1041401.8 1173 38.8 100 77.1 65.7 51 39.6 26.2 19.9 17.3
2021685.4 389 27.4 100 87.3 73.9 58.5 45.1 31.3 25.3 20.9
2051688.5 5446 39 100 73 62.4 47.7 37.2 25.4 19 15.4
2071690.5 6634 35.5 100 66.6 53.7 44.6 31.6 21.9 18.2 14.9
Brine Saturation
Pressure
Sample
J(Sw) vs Sw* each HU

Potential reference
•The attribute for Hydrocarbon prediction based on Attenuation –MamanHermana (2014)

TOPIC
Proxy Seismic attribute to Density
OBJECTIVE
•Run AVO inversion mainly targeting Density
•Run EEI for Density
•Evaluate any other Elastic parameter (combination) that has
good relation with density
•Multi-attribute (GR/Rhob? or others?)
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