The Investigation of Fluid Properties and Seismic Attributes for Reservoir Characterization
The Investigation of Fluid Properties and Seismic Attributes for Reservoir Characterization
For you this is Introduction for Seismic Reservoir.. Enjoy!Full description
Descripción completa
Full description
Descripción: Seismic Attributes for Prospect Identification and Reservoir Characterization - Satinder Chopra, K. J.
Full description
CalculationDescription complète
Calculation
Full description
DOCFull description
Descripción completa
Descripción: In this thesis, we apply AVO technique to map the attribute anomalies of the reservoir to survey the capability of AVO technique to indicate the exact location of the gas zones in approved hydroc...
RESERVOIRFull description
Tool steel process and performanceDescripción completa
Tool steel process and performanceFull description
Seismic Attributes Attr ibutes & Reservoir servoi r Prope Prop erties rt ies
Rovicky Dwi Dwi P utrohar utroharii
COURSE OUTLINE • Reservoir Model Seismic c geolog y Interpretation Interpretation • Seismi • Extracting Stratigraphic from seismic • Seismi Seismi c Attr ibutes ibu tes & Rese Reservo rvoir ir Properties • Reservoir Reservoir Modeling Modeling for Prosp ect Scale • Exercises
1
Seismic Attributes Seismic attributes may be defined as “all the information obtained from seismic data, either by direct measurements or by logical or experience based reasoning.” (Taner, 1998)
•Physical Attribute – Relate to wave propagation, lithology and other physical parameter
•Geometrical Attribute – Geometric attributes describe the spatial and temporal relationship of all other attributes.
Factor affecting Amplitude 1. Acquisition 2. Processing 3. Post Processing See Sheriff,
2
Factor influencing seismic of sedimentary rocks
Wang, 2001
Well and Seismic Ties
h t p e D
e m i T
Well data
Seismic data
3
Seismic Trace
AI(t)
RC(t)
W(t)
S(t)
* WAVELET
Acoustic Impedance Inversion Earth
*
Seismic
/
Wavelet
= Seismic
Seismic Acquisition Wavelet
= AI
Seismic Inversion AI
Earth
Reservoir Modeling/ Characterization
4
Acoustic impedance Section (Band Limited AI)
-
0
+
Acoustic impedance Section (Final AI)
5
Amplitude Section
Impedance Section LOW IMPEDANCE
HIGH IMPEDANCE
6
Extracting Attrib ute
TW Time Horizon Pick
At tr ib ut e
Extraction
TW Time Horizon Pick
7
Extraction
Attr ib ut e
Display Impedance Section GR
MAIN HORIZONS
8
Interprete Stratigraphy GR TOP SET
TOP SET MAIN HORIZONS
TOP SET
Define Reservoir Geometry GR PARASEQUENCE
TOP SET
TOP SET
TOP SET
9
Reservoir Properties from Seismic Earth
Seismic Earth
*
Seismic
/
AI
Earth
Wavelet
= Seismic
Seismic Ac quis itio n
Wavelet
= AI
Seismic Inversion
AI
Earth
Reservoir Modeling
Seismic Modeling Forward Modeling
Input
Process
Output
Earth Model
Inverse Modeling Seismic Response
Modeling Alg orithm
Inversion Alg orithm
Seismic Response
Earth Model
10
Why use AI ? • Lithology • Porosity • Fluid Content • Depth • Pressure (over pressure, AI drops)
Well versus Seismic AI • Well Aco ust ic Impedance : • AI L og = Dens it y L og x Vel ocity L og • Fine vertical sampling
• Seismic Acoustic Impedance : • Derived by Seismic Inversion • Good lateral sampling
11
AI data can be used as a : • Lithology Indicator & Map lithology • Porosity indicator • Hydrocarbon indicator • Tool for quantitative analysis
AI and RC Density ( ) and v elocity (V) : AI =
. V = g/cc . ft/s -
AI 1
RC 1 =
+
AI 2 - AI 1 AI 2 + AI 1
AI 2 RC 2 AI 3
RC =Reflection Coefficient
12
Amplitude – Acoustic Impedance Acoustic Impedance
Seismic Amplitude ♦
Bondary properties
♦
Internal propreties
AI on Well Oil Sand
Water Sand
Shale
13
AI on Seismic INTERPRETATION PROBLEM
INTERPRETATION PROBLEM AI p ro vid e easi er (vis ual ) co rr elat io n/i nt erpret ati on
14
INTERPRETATION PROBLEM AI p ro vid e easi er (vis ual ) co rr elat io n/i nt erpret ati on
Porosity from seismic vs well
Seismic driven porosity profile
Well driven porosity profile
Seismic driven porosity map
Well driven porosity map
15
Porosity from seismic and well
Frequency-merged driven porosity profile
Frequency-merged driven porosity map
Porosity from seismic and well Seismic only
Well only
Well and seismic
Seismic driven porosity profile
Well driven porosity profile
Frequency-merged driven porosity profile
Seismic driven porosity map
Well driven porosity map
Frequency-merged driven porosity map
16
Benefits of Using A coustic Impedance
• Quantitative predictions of reservoir properties • Easier to interpret horizons, faults, stratigraphic units • Easy to understand by nongeoscientist • Great integration tool • Compare directly to wells
Quantitative use of AI • AI can be used to derive rock properties, such as : – lithology, – porosity , – fluid contents
• Absolute AI can be used for quantitative reservoir characterization
