Can post-stack inversion predict reservoir thickness
A methodology of porosity estimation from inversion of post-stack …
Objectives of this paper are to (a) develop the relation between porosity and acoustic reflectivity, (b) estimate the porosity wavelet and (c) perform direct inversion of …
Post-stack Seismic Inversion
This chapter discusses several types of post-stack seismic inversion methods namely model-based inversion, colored inversion, sparse spike inversion, …
Applications of AVO Attributes in the Prediction of Tight Gas ...
The existing AVO inversion methods are also difficult to predict the tight sandstone reservoir parameters. Most of the existing methods only use synthetic data to verify their effectiveness, and ...
Prestack Seismic Inversion and Seismic Attribute Analysis
Post-stack seismic attributes can be extracted on a time slice or between two horizons (Brown, 2001). Compared to seismic amplitudes, the results of inversion have higher resolution and convey ...
Deterministic and Stochastic Seismic Inversion techniques towards …
Wu et.al. applied post-stack deterministic and stochastic methods of inversion, to predict the porosity of the target zone, through applying physical relationships to relate the impedance to porosity [4]. On the other hand, some others attempted to implement the seismic data in different methods to predict the reservoir existence such …
Selection of Sensitive Post-Stack and Pre-Stack Seismic …
In this study, thin gas sand layers of the Lower Ranikot Formation of the Mehar gas field in the Kirthar Fold Belt, Pakistan, have been characterized via the …
Improved Prediction of Thin Reservoirs in Complex Structural …
For this purpose, constrained sparse spike inversion and seismic waveform indication inversion were employed to comparatively evaluate oil and gas reservoirs, …
Thin Reef-Shoal Reservoir Prediction Using Two-Order …
Geostatistical inversion has been widely used for reservoir prediction. To improve vertical resolution of internal reservoirs and thin reservoir prediction, we used second-order facies-controlled post-stack geostatistical inversion constrained with 3D probability volumes . The inversion was performed in the following steps: (1)
Indicative Factors of Reservoir Sensitivity Based on Pre
With the deepened exploration and development of petroleum, pre-stack inversion can predict reservoir and petroleum distribution by extracting elastic parameters by virtue of the gathers.
Use of Probabilistic Neural Network and Post Stack Inversion …
4 Abosalama A OPEN ACCESS Freely available online Figure 4: Deterministic wavelet using five wells used in this study with time response on top and respective amplitude spectrum on the bottom. The phase is constant 180 degree. Note: ( ) Determenistic all wells, ( ) Phase (avg: 178) Figure 5: An example of the well ties in Sapphire De well using …
Post stack inversion for reservoir characterization of KG basin ...
Post stack inversion for reservoir characterization of KG basin associated with gas hydrate prospects 203 study, model based inversion and band limited inversion algorithms are used for inverting the seismic data volumes. In model-based inversion we start with a low frequency model of the P-impedance and then perturb this model
Pre-stack inversion for caved carbonate reservoir prediction: A …
The average accuracy of sand body prediction with the method of PP-PS wave combined pre-stack inversion reached approximately 85% which is greater than that of the PP wave post-stack inversion and ...
Pre-stack inversion for caved carbonate reservoir prediction: A …
The major storage space types in the carbonate reservoir in the Ordovician in the TZ45 area are secondary dissolution caves. For the prediction of caved carbonate reservoir, post-stack methods are commonly used in the oilfield at present since pre-stack inversion is always limited by poor seismic data quality and insufficient logging …
Application of pre-stack simultaneous inversion to predict gas …
Pre-stack simultaneous inversion is a seismic exploration technology which is widely applied to recognize lithology and detect oil and gas by analyzing the feature of amplitude variation versus ...
Use of PNN and Post Stack Inversion to Predict Reservoir ...
Thus, it can be used to accurately predict reservoir properties in 3D volumes. In the Sapphire gas field, Offshore Nile Delta, we used PNN to predict reservoir petrophysical properties from seismic data. The impedance volume becomes reservoir parameters (effective porosity, water saturation and shale volume volumes). ... Because the post …
Application of model based post-stack inversion in the …
This study estimates reservoir properties (i.e. acoustic impedance and porosity) by applying post-stack seismic inversion techniques to a gas prone reservoir in the Sawan area, Southern Indus ...
Utilizing pre-stack simultaneous inversion to predict reservoir ...
This paper innovatively presents a nonlinear prestack inversion based on fruit-fly optimization algorithm (FOA), and tests the performance of the proposed algorithm by the use of Schaffer function F6.
Integrating seismic attributes, post-stack seismic inversion, and …
On top of that, the post-stack deterministic inversion depends on the ONS seismic reflection coefficient, sampling, and frequency (50 Hz) being higher than the …
Reservoir Characterizarion Using Acoustic Impedance Inversion …
Based on the data source, the seismic inversion method into two groups, namely pre-stack inversion and post-stack inversion [5]. Inversion is a geophysical modeling that is carried out to predict ...
Post-stack seismic inversion analysis plot for a seismic line …
Post-stack seismic inversion analysis plot for a seismic line showing matching between the inverted (red line) and computed acoustic (blue line) impedance within calculation window (yellow line).
Delineation of thin-bedded sands and porosity using post …
logically complex E-sand reservoir. In this study, Bve seismic post-stack inversion algorithms were investigated to delineate the thin-bedded E-sand reservoir of Lower Goru Formation. The dataset includes 3D post-stack volume and two wells, as shown in Bgure 3. Well headers and tops were provided along with LAS Bles. The LAS Ble con-
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