Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801083
E. Gillis, D. McCallum, L. Stead
The Flemish Pass Basin has a proven petroleum system that is sourced from Jurassic aged sediments. Traditionally structural plays have been tested in the area with success. Now with modern high quality 2D and 3D seismic data, a stratigraphic Cretaceous fan play trend has emerged west of the Flemish Pass Basin discoveries. These fans are large in size and may display multiple reservoir units indicative to fan complexes. The fans are underpinned with Jurassic aged strata and show Class II AVO anomalies. As well, geochemical sampling through the shallow core survey has revealed elevated levels of C1 to C6 over the trend, indicating potential thermogenic hyrdrocarbons in the subsurface.
{"title":"Cretaceous Fan Complexes of the Western Flemish Pass Basin Offshore Newfoundland and Labrador, Canada","authors":"E. Gillis, D. McCallum, L. Stead","doi":"10.3997/2214-4609.201801083","DOIUrl":"https://doi.org/10.3997/2214-4609.201801083","url":null,"abstract":"The Flemish Pass Basin has a proven petroleum system that is sourced from Jurassic aged sediments. Traditionally structural plays have been tested in the area with success. Now with modern high quality 2D and 3D seismic data, a stratigraphic Cretaceous fan play trend has emerged west of the Flemish Pass Basin discoveries. These fans are large in size and may display multiple reservoir units indicative to fan complexes. The fans are underpinned with Jurassic aged strata and show Class II AVO anomalies. As well, geochemical sampling through the shallow core survey has revealed elevated levels of C1 to C6 over the trend, indicating potential thermogenic hyrdrocarbons in the subsurface.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127950962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801487
S. Large, A. McQueen, N. Stewart, T. Calder, D. Long, C. Lovelock
{"title":"Fracture Enhanced Chalk Matrix Permeability as a Driver for Completion Strategy. Curlew C Field, Block 29/7, UKCNS","authors":"S. Large, A. McQueen, N. Stewart, T. Calder, D. Long, C. Lovelock","doi":"10.3997/2214-4609.201801487","DOIUrl":"https://doi.org/10.3997/2214-4609.201801487","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801684
H. Ameri, M. Motahhari
{"title":"Investigation of Pillar Width Effect on Pillar Stability in Inclined Layers by Numerical Model, Hamkar Mine Field Study","authors":"H. Ameri, M. Motahhari","doi":"10.3997/2214-4609.201801684","DOIUrl":"https://doi.org/10.3997/2214-4609.201801684","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121699445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201800679
T. Alkhalifah, B. Sun, Y. Choi, Faisal Alonaizi, M. Almalki
With an objective to invert for the subsurface velocity in the near surface rather than developing an image, we substitute the commonly used broadband acquisition scenario with a novel narrow band acquisition at coarse shot locations. We conduct the acquisition of narrow band seismic data, with an effect of 3 simultaneous sources vibrating at different bands (14-15 Hz, 24-25 Hz, and 49-50 Hz) of the frequency spectrum. The separation of the shot gathers corresponding to the simultaneous sources becomes natural as the shots fall in different bands of the frequency spectrum. The narrow band acquisition allows us to inject more energy of these frequencies using the same conventional vibrator sweep time (6 seconds). We mute regions of low signal-to-noise ratio, and then insert the data into a frequency domain waveform inversion algorithm. The inverted model down to 250 meters depth showed structure corresponding to a low velocity zone at around 80 meter depth. For comparison a conventional full sweep acquisition (30-170 Hz) at a dense shot spacing we recorded. We migrated this conventional dataset using the inverted model. The agreement between the inverted model and the image, extracted from the two independent datasets, supports the accuracy of the inverted model.
{"title":"Sparse Frequencies Data Inversion: an Application to a Near Surface Experiment","authors":"T. Alkhalifah, B. Sun, Y. Choi, Faisal Alonaizi, M. Almalki","doi":"10.3997/2214-4609.201800679","DOIUrl":"https://doi.org/10.3997/2214-4609.201800679","url":null,"abstract":"With an objective to invert for the subsurface velocity in the near surface rather than developing an image, we substitute the commonly used broadband acquisition scenario with a novel narrow band acquisition at coarse shot locations. We conduct the acquisition of narrow band seismic data, with an effect of 3 simultaneous sources vibrating at different bands (14-15 Hz, 24-25 Hz, and 49-50 Hz) of the frequency spectrum. The separation of the shot gathers corresponding to the simultaneous sources becomes natural as the shots fall in different bands of the frequency spectrum. The narrow band acquisition allows us to inject more energy of these frequencies using the same conventional vibrator sweep time (6 seconds). We mute regions of low signal-to-noise ratio, and then insert the data into a frequency domain waveform inversion algorithm. The inverted model down to 250 meters depth showed structure corresponding to a low velocity zone at around 80 meter depth. For comparison a conventional full sweep acquisition (30-170 Hz) at a dense shot spacing we recorded. We migrated this conventional dataset using the inverted model. The agreement between the inverted model and the image, extracted from the two independent datasets, supports the accuracy of the inverted model.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131385846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801367
K. Kraus, P. Szafián, R. Bell
Summary Geological expression techniques including frequency decomposition are very powerful tools in understanding and risking reservoirs. A cognitive approach in visualising responses of different band-limited frequency volumes is through red-green-blue (RGB) colour blending. The non-unique colour responses are subject to a variety of complex interference patterns that are related to a number of geological factors: bed thickness, lithology, porosity, fluid content. This study presents a joint seismic forward modelling and frequency decomposition workflow on the Thebe gas discovery, offshore NW Australia to isolate and quantify the effects of hydrocarbon saturation on colour blends. Observations from real life blends are compared to equivalent synthetic models created through comprehensive rock physics modelling at two well locations; Thebe-1 and Thebe-2. Primary gas-bearing sand units within the Triassic Mungaroo Formation have been identified and are associated with a unique combination of high intensity frequency responses surrounded by a low frequency zone related to a pronounced gas-water contact. Sensitivity analysis through forward modelling has confirmed that fluid effects play a significant role in the frequency responses, and yield unique interference patterns in gas saturated sands. Frequency responses were used to establish spatial distribution of these gas-bearing sands to identify locations of ‘sweet-spots’ and de-risk development plans.
{"title":"Quantitative Interpretation of Frequency Decomposition Blends Using Forward Modelling: Thebe Discovery, NW Australia","authors":"K. Kraus, P. Szafián, R. Bell","doi":"10.3997/2214-4609.201801367","DOIUrl":"https://doi.org/10.3997/2214-4609.201801367","url":null,"abstract":"Summary Geological expression techniques including frequency decomposition are very powerful tools in understanding and risking reservoirs. A cognitive approach in visualising responses of different band-limited frequency volumes is through red-green-blue (RGB) colour blending. The non-unique colour responses are subject to a variety of complex interference patterns that are related to a number of geological factors: bed thickness, lithology, porosity, fluid content. This study presents a joint seismic forward modelling and frequency decomposition workflow on the Thebe gas discovery, offshore NW Australia to isolate and quantify the effects of hydrocarbon saturation on colour blends. Observations from real life blends are compared to equivalent synthetic models created through comprehensive rock physics modelling at two well locations; Thebe-1 and Thebe-2. Primary gas-bearing sand units within the Triassic Mungaroo Formation have been identified and are associated with a unique combination of high intensity frequency responses surrounded by a low frequency zone related to a pronounced gas-water contact. Sensitivity analysis through forward modelling has confirmed that fluid effects play a significant role in the frequency responses, and yield unique interference patterns in gas saturated sands. Frequency responses were used to establish spatial distribution of these gas-bearing sands to identify locations of ‘sweet-spots’ and de-risk development plans.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132370577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801110
A. Darwish, R. Haacke, G. Poole
Summary Land surveys suffer from rapid variations in velocity in the near-surface weathering layer that degrade seismic images when the velocity variations are not accounted for in imaging. While elevation information or refraction tomography can compensate for long and mid-wavelength variations, residual static algorithms are used to correct for the shorter wavelengths. Residual statics are commonly estimated by maximising lateral coherency in gathers after Normal Move-Out corrections, either by measuring trace-to-trace correlation or overall stack power. This work introduces an alternative method able to estimate residual statics using a cost function based on sparseness in gathers without a-priori knowledge about velocities needed for NMO correction. By maximizing sparsity in the tau-v and tau-p domains the method enhances coherency assuming, respectively, hyperbolic reflections in the case of mid-wavelength residual statics and local linearity in the case of shorter wavelength residual statics. Results from 2D and 3D data show overall improvement in stack power and focus, as well as reflector positioning, when the sparseness method is used before picking velocities for imaging. To complete the flow, stack optimisation methods can be run as a post-process to further add constructively to the stack.
{"title":"De-coupling Residual Statics and Velocity Picking","authors":"A. Darwish, R. Haacke, G. Poole","doi":"10.3997/2214-4609.201801110","DOIUrl":"https://doi.org/10.3997/2214-4609.201801110","url":null,"abstract":"Summary Land surveys suffer from rapid variations in velocity in the near-surface weathering layer that degrade seismic images when the velocity variations are not accounted for in imaging. While elevation information or refraction tomography can compensate for long and mid-wavelength variations, residual static algorithms are used to correct for the shorter wavelengths. Residual statics are commonly estimated by maximising lateral coherency in gathers after Normal Move-Out corrections, either by measuring trace-to-trace correlation or overall stack power. This work introduces an alternative method able to estimate residual statics using a cost function based on sparseness in gathers without a-priori knowledge about velocities needed for NMO correction. By maximizing sparsity in the tau-v and tau-p domains the method enhances coherency assuming, respectively, hyperbolic reflections in the case of mid-wavelength residual statics and local linearity in the case of shorter wavelength residual statics. Results from 2D and 3D data show overall improvement in stack power and focus, as well as reflector positioning, when the sparseness method is used before picking velocities for imaging. To complete the flow, stack optimisation methods can be run as a post-process to further add constructively to the stack.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132536514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801093
H. Li, X. Chang, Z. Yao, Y. Wang
Summary Fracture directionality, scale and stress state of hydraulic fracturing areas are extremely important for the unconventional resources exploration. Their information can be obtained from the study of microseismic focal mechanisms. For microseismic events, double-couple or moment tensor models are usually used in focal mechanism inversion. In this study, we use the “Shear & Tensile” general dislocation model to describe the microseismic source. Based on this model, we develop an approach to calculate microseismic focal mechanism using amplitude spectra fitting and simulated annealing technique in frequency domain. The new method takes account of full waveform information including phase and polarities of first P wave arrivals and can provide dislocation length along each direction as well as common source parameters (strike, dip and rake angles) in the study area. The synthetic tests on surface and borehole network and applications to real data show that our method is robust and efficient.
{"title":"General Dislocation Model Based Microseismic Focal Mechanism Inversion in Frequency Domain","authors":"H. Li, X. Chang, Z. Yao, Y. Wang","doi":"10.3997/2214-4609.201801093","DOIUrl":"https://doi.org/10.3997/2214-4609.201801093","url":null,"abstract":"Summary Fracture directionality, scale and stress state of hydraulic fracturing areas are extremely important for the unconventional resources exploration. Their information can be obtained from the study of microseismic focal mechanisms. For microseismic events, double-couple or moment tensor models are usually used in focal mechanism inversion. In this study, we use the “Shear & Tensile” general dislocation model to describe the microseismic source. Based on this model, we develop an approach to calculate microseismic focal mechanism using amplitude spectra fitting and simulated annealing technique in frequency domain. The new method takes account of full waveform information including phase and polarities of first P wave arrivals and can provide dislocation length along each direction as well as common source parameters (strike, dip and rake angles) in the study area. The synthetic tests on surface and borehole network and applications to real data show that our method is robust and efficient.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130226179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201800922
S. Wei, L. Jingye, Ouyang Yonglin, Z. Qingcai, Huang Jia-qiang, Song Yaying
{"title":"Deep Learning Based 3D Velocity Field Nonlinear Multiple Regression","authors":"S. Wei, L. Jingye, Ouyang Yonglin, Z. Qingcai, Huang Jia-qiang, Song Yaying","doi":"10.3997/2214-4609.201800922","DOIUrl":"https://doi.org/10.3997/2214-4609.201800922","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130273533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801213
J. Daves, J. Simmons
{"title":"Shear-wave Reflection Signal Recovery through Horizontal-geophone Azimuth Estimation","authors":"J. Daves, J. Simmons","doi":"10.3997/2214-4609.201801213","DOIUrl":"https://doi.org/10.3997/2214-4609.201801213","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130454720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801682
M. Sabah, B. Ashrafi, M. Ameri, A. Shahriari
{"title":"A New Approach for Selection of Casing Seating Depths","authors":"M. Sabah, B. Ashrafi, M. Ameri, A. Shahriari","doi":"10.3997/2214-4609.201801682","DOIUrl":"https://doi.org/10.3997/2214-4609.201801682","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134029019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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