
Application of frequency domain multi-scale fault detection technique in shale gas exploration in Changning region
CHEN Kelin, JING Cui, YANG Yang, REN Xiaoli, WANG Litian
Applications of high-resolution seismic frequency and phase attribute analysis techniques
Renqi Jianga, John P. Castagna, Jian Wuc
Phase Decomposition and Its Applications
Satinder Chopra, Ritesh Kumar Sharma, John Castagna, Oleg Portniaguine, Gabriel Gil and Kenneth Bredesen
Direct hydrocarbon detection (DHI) techniques for prospective exploration targets in Chaoshan Depression
Guangjian Zhong
CASE STUDY: PHASE COMPONENT AMPLITUDE VARIATION WITH ANGLE
Elita Selmara De Abreu, John Patrick Castagna, Gabriel Gil
Appropriate Acquisition and Processing for Shallow 3-D Seismic Surveys
Moreno, Young, Castagna
In seismic reprocessing, a ray trace analysis using an approximate interval velocity model is important to establish the range of incidence angles expected for the shallow target horizons.
Fluid Contacts and Net-Pay Identification in Three Phase Reservoirs Using Seismic Data
Gil, Pérez, Cuesta, Altamar, Sanabria
The application of 3D seismic attributes, spectral decomposition and pseudo impedances, led to the identification of fluid contacts within heavy oil reservoirs in Block II of the Uracoa Field, in Monagas Sur area, Eastern Venezuela.
Reservoir Delineation Using Spectral Decomposition, Spectral Inversion and Neural Network Analysis for an Oily Reservoir in Offshore Thailand
Cox, Castagna, Gil, Ripple, Rubio, Moon, Roever, Laird, Peace, The, Mitchell, Pringle, Htein
A combination of spectral decomposition, spectral and neural net inversion methodologies demonstrated a potential tool for mapping sand occurrence across a complex Tertiary lacustrine basin.
Composite Attribute from Spectral Decomposition for Fault Detection
Barbato, Castagna, Portniaguine, Fagin
A composite fault detection attribute is more interpretable than conventional attributes in cross section views such as inlines and crosslines and shows discontinuities that are spatially more correct on time slices.
Simultaneous Inversion of Spectrally-Broadened 3d Seismic Data: Case Study for Olmos Unconventional Play, South Texas
Porfiri, Castagna, Moriarty, Stewart
High-resolution seismic inversion may allow better definition of productive zones
Joint time-variant spectral analysis — Part 2: A case study
Ramses G. Meza, J. Antonio Sierra, John P. Castagna, and Umberto Barbato
The joint time-frequency and time-phase analysis applied to a field seismic data highlights lateral changes on preferential frequency and phase illumination at the target across secondary faults. Mutual thin-bed interference modeling suited for the case study area was performed using a well-tying well-based extracted wavelet assumed to be representative of the wavelet embedded on the input seismic data. The long coda of this wavelet is also present on the corresponding thin-bed waveform, indicating the possibility of more complex mutual interference patterns between thin beds and mutual interference at farther vertical separations between thin beds compared with what would occur for an embedded wavelet with a shorter coda. The observed lateral changes on preferential frequency and phase illumination on the seismic data are attributable to collocated lateral changes in the stacking patterns and variable occurrence of vertically adjacent thin beds, which are interpreted as lateral sediment deposition changes induced by the syndepositional activity of the secondary faults. This is a geologic scenario that had not been previously considered on the area until the evidence of this case study provide indirect support for it.
Joint time-variant spectral analysis — Part 1: Forward modeling the effects of thin-bed layering
Ramses G. Meza, J. Antonio Sierra, John P. Castagna, and Umberto Barbato
Using time-frequency and time-phase analysis we found that for an isolated thin bed in a binary-impedance setting, there is no observable sensitivity in preferential illumination as layered net-to-gross (NTG) changes within the isolated thin bed, regardless of the way the internal layering is distributed — either uniformly or semirandomly. The NTG signature is observed on the amplitude (magnitude) responses, rather than any specific frequency or phase component. On the other hand, external mutual thin-bed interference can significantly change the preferred phase component for each participating target. This phenomenon is largely driven by the embedded seismic wavelet that determines the nominal seismic response of an isolated thin layer and what phase component would preferentially illuminate it. For vertical separations between mutually interfering and elastically comparable thin beds in which mutual constructive interference is achieved, the target bed will be preferentially illuminated at a phase component that is very close to that of a total seismic isolation, whereas the occurrence of mutual destructive interference will cause a significant departure on the phase preferential illumination from that of an isolated seismic thin bed. All these observations can provide an avenue to yield more robust stratigraphic interpretations of seismic data and enhance the confidence on subsurface description.
Phase Decomposition as a Hydrocarbon Indicator: A Case Study
Meza, Haughey, Castagna, Barbato, Portniaguine
Phase decomposition is applied to low-impedance hydrocarbon-bearing sands in a clastic section where sand thicknesses vary from the vicinity of tuning to well below tuning. Through Phase Decomposition the amplitudes separate into the expected phase components, resulting in a different spatial distribution of mapped amplitudes than on the original seismic data.
Phase Decomposition
John Castagna, Arnold Oyem, Oleg Portniaguine, and Understanding Aikulola
Phase Decomposition separates the trace into a 2D function of amplitude versus time and phase. The amplitude variation with time for a specific seismic phase is referred to as a phase component. Subtle lateral impedance variations occurring within thin layers can be greatly amplified in their seismic expression when specific phase components are isolated. For seismically thin layers, phase components are particularly useful in simplifying seismic interpretation.
Phase Decomposition as a DHI in Bright Spot Regimes: A Gulf of Mexico Case Study
Umberto Barbato*, Lumina Geophysical , Oleg Portniaguine, Lumina Technologies, Ben Winkelman, Talos Energy, John Castagna, University of Houston
Phase decomposition is used as a Direct Hydrocarbon Indicator in low impedance light oil bearing sands in a deepwater Gulf of Mexico seismic dataset. Amplitude anomalies are laterally distributed among phase components, showing, for reservoirs of similar properties (including thickness), an evident separation between oil bearing and brine bearing reservoirs. The tuning thickness of the reservoir is determined by applying the technique in synthetic gathers, which provide a guideline to define the required dominant frequency of the seismic data prior application of the attribute.
Spectral Decomposition of Seismic Data with continuous transform
Sinha, Routh, Anno, Castagna
CWT method does not require preselecting a window length and does not have a fixed time-frequency resolution over the time-frequency space. TFCWT potentially can be used to detect frequency shadows caused by hydrocarbons and to identify subtle stratigraphic features for reservoir characterization.
Application of spectral decomposition to gas basins in Mexico
Burnett, Castagna, Méndez-Hernández, Rodríguez, García, Vázquez, Avilés, Villaseñor
Spectral decomposition using wavelet transforms are useful as a direct hydrocarbons detector and as an indicator of stratigraphic variability in gas prone areas.
Time-Frequency Attribute of Seismic Data Using Continuous Wavelet Transform
Sinha, Routh, Anno, Castagna – 2003
CWT eliminates the subjective choice of a window length. The method can potentially be utilized as a direct hydrocarbon indicator.
Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons
Castagna, Sun, Siegfried
The instantaneous Spectral Analysis method has a much better combination of temporal and frequency resolution than conventional spectral decomposition methods. This enables the use of it as direct hydrocarbon indicator.
Inverse spectral decomposition
Portniaguine, Castagna
Inverse spectral decomposition produces solutions with better time and frequency resolution than popular existing methods
Spectral decomposition of seismic data with continuous-wavelet transform
Sinha, Routh, Anno, Castagna
Two field examples illustrate that the TFCWT potentially can be used to detect frequency shadows caused by hydrocarbons and to identify subtle stratigraphic features for reservoir characterization.
Comparison of spectral decomposition methods
Castagna, Sun
Matching and exponential pursuit decomposition (MPD and EPD) do not involve windowing of the seismic data and thus have the best combination of temporal and spectral resolution as compared to the discrete fourier transform (DFT) and the continuous wavelet transform (CWT).
Comparison of frequency attributes from CWT and MPD spectral decomposition of a complex turbidite channel model
Puryear, Tai, Castagna
MPD shows better resolution of stratigraphic features than CWT by providing sharper definition of lateral stratigraphic changes and detection of subtle channel features associated with off-peak frequencies.
The use of seismic attributes and spectral decomposition to support the drilling plan of the Curacao-bombed fields
Cuesta, Pérez, Hernández, Carrasquel, Cabrera, Moreno, Castagna
Spectral decomposition and pseudo density from multi-attributes inversion proved to be a lithological / hydrocarbon predicting tool when properly calibrated with well logs.
Constrained Least-Squares Spectral Analysis: Application to Seismic Data
Puryear, Portniaguine, Cobos, Castagna
CLSSA results in a time-frequency analysis with frequency resolution and time-frequency product superior to the STFT and the CWT. Application of CLSSA on real-data results in a tentative interpretation of architectural elements not observed using conventional spectral decomposition methods.
Hydrocarbon Prospecting in Deepwater Trinidad Using AVO and Spectral Decomposition
Moreno, Perez, Meyer, Huffman, Etemadi, Benkovics
Amplitude versus offset (AVO) and spectral decomposition (SD) techniques were used for direct hydrocarbon identification (DHI) to better quantify the risk during hydrocarbon prospecting.
Extending the Limits of Technology to Explore Below the DHI Floor; Successful Application of Spectral Decomposition to Delineate DHI’s Previously Unseen on Seismic Data
Fahmy, Matteucci, Parks, and Matheney. ExxonMobil Exploration Company and Jie Zhang ExxonMobil Research Company.
The application of Spectral Decomposition was an effective way of delineating deeper targets not seen before on original seismic data for DHI and stratigraphic interpretation. The delineated DHI response matched what was expected for better reservoir quality Class II hydrocarbon bearing sands.
Layer thickness estimation from the frequency spectrum of seismic reflection data
Arnold Oyem* and John Castagna
We have shown from synthetic seismic data and real seismic data using spectral notch periodicity approach, the tendency of layer thickness underestimation using STFT spectrum, as a result of spectral smearing. Conversely, for the same analysis window, CLSSA using this approach yields more accurate layer thickness estimation.
The use of spectral decomposition to QC seismic data
Elita De Abreu, Firas Jarrah, Oyintari Aboro, Azie Sophia Aziz, Ricardo De Campos, and John Castagna
Spectral decomposition can be used to QC seismic data, and evaluate the signal-to-noise, resolution, and fault detectability at each frequency, thereby determining the true bandwidth of the data. The amplitude spectrum of the data itself is not enough to address the real limits of resolution of the data, and a more detailed analysis, using spectral decomposition is useful.
Recent Advances in Seismic Lithologic Analysis
Castagna
The future of seismic lithologic analysis is bright with tremendous opportunity waiting for those that are willing to invest the time, effort, and capital needed to properly exploit the technology.
Looking at Things from a Different Angle
Poland, Gil
The application of Predict 3D shows geological details not observable in the conventional seismic data and allows for more detailed and accurate interpretations than are possible with the input data alone and conventional inversion methods.
Seismic Sparse-Layer Reflectivity Inversion Using Basis Pursuit Decomposition
Zhang, Castagna – 2011
Sparse-layer inversion potentially improves the detectability and resolution of some thin layers and reveals apparent stratigraphic features that are not readily seen on conventional seismic sections.
Layer-thickness determination and stratigraphic interpretation using spectral inversion: Theory and application
Puryear, Castagna – 2008
Seismic data that are inverted spectrally on a trace-by-trace basis show greater bedding continuity than do the original seismic data.
Prestack Elastic Waveform Inversion
Pan, Young, Castagna
Prestack elastic waveform inversion is useful for delineating offshore, shallow, structurally simple, bright-spot events.
Increasing the effective bandwidth of seismic data through sparse-layer inversion: A case study from Mangala field, Rajasthan, India
Somasundaram, Chacko, Ravichandran, van Eykenhof
Sparse-layer reflectivity inversion constrained by high-resolution spectral decomposition resolved the connectivity of thin reservoir sands enabling the detailed interpretation of fluvial packages in the complex meandering system.
Delineating thin sand connectivity in a complex fluvial system in Mangala field, India, using high resolution seismic data
Somasundaram, Das, Kumar – 2015
Sparse Layer reflectivity inversion constrained by high-resolution Spectral Decomposition doubled the effective bandwidth of seismic data, allowing for significantly improved definition of thin stratigraphic units on the 3D PSTM stack seismic data.
Tutorial: Spectral bandwidth extension — Invention versus harmonic extrapolation
Chen Liang, John Castagna, Ricardo Zavala Torres – 2017
Tests of the frequency invention methods and harmonic extrapolation on field seismic data demonstrate that (1) the frequency invention methods modify the original seismic band whereas harmonic extrapolation can be filtered back to the original band with good fidelity and (2) harmonic extrapolation exhibits acceptable ties between real and synthetic seismic data outside the original seismic band, whereas frequency invention methods have unfavorable well ties in the cases studied.