Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801229
C. Kim, S. Pyun
{"title":"Multi-Parametric Full Waveform Inversion of VSP Data Considering Borehole Deviation Error","authors":"C. Kim, S. Pyun","doi":"10.3997/2214-4609.201801229","DOIUrl":"https://doi.org/10.3997/2214-4609.201801229","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":"116109575","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: 10.3997/2214-4609.201800878
Satoshi Fuse, H. Mikada, J. Takekawa
{"title":"The Inversion of Full Waveform Sonic Data for Estimating Stiffness Elements and Azimuth of Transversely Isotropic Medium","authors":"Satoshi Fuse, H. Mikada, J. Takekawa","doi":"10.3997/2214-4609.201800878","DOIUrl":"https://doi.org/10.3997/2214-4609.201800878","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"36 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":"122336729","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: 10.3997/2214-4609.201801701
B. Pramita
{"title":"Geostatistical Modelling on CO2 and Mercury Content in Soil and Its Implication for Geothermal Exploration in Bittuang","authors":"B. Pramita","doi":"10.3997/2214-4609.201801701","DOIUrl":"https://doi.org/10.3997/2214-4609.201801701","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"116 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":"122402623","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: 10.3997/2214-4609.201801233
P. Anquez, J. Pellerin, G. Caumon
We introduce a method to process boundary defined geological models and ease their meshing. Our method detects and fixes geological model invalid features, (e.g. small gaps breaking model watertightness) and complex features (e.g. thin layers, unconformities and small fault throws) which constrain mesh element resolutions and angles making mesh generation challenging. These features are modeled by a graph that provides a formal framework to operate and correct the input model. The possible operations to fix the geometrical and topological issues are equivalent to graph elementary operations. Our method then first operates on the graph aiming at removing all the edges representing invalid features. The second step is to account for these topological changes in the geometrical model. The procedure is illustrated on an invalid 2D subsurface cross-section characterized by many small gaps and several intersections between the faults and the horizons.
{"title":"A Graph-Based Method to Detect and Correct Invalid Features in Subsurface Structural Models","authors":"P. Anquez, J. Pellerin, G. Caumon","doi":"10.3997/2214-4609.201801233","DOIUrl":"https://doi.org/10.3997/2214-4609.201801233","url":null,"abstract":"We introduce a method to process boundary defined geological models and ease their meshing. Our method detects and fixes geological model invalid features, (e.g. small gaps breaking model watertightness) and complex features (e.g. thin layers, unconformities and small fault throws) which constrain mesh element resolutions and angles making mesh generation challenging. These features are modeled by a graph that provides a formal framework to operate and correct the input model. The possible operations to fix the geometrical and topological issues are equivalent to graph elementary operations. Our method then first operates on the graph aiming at removing all the edges representing invalid features. The second step is to account for these topological changes in the geometrical model. The procedure is illustrated on an invalid 2D subsurface cross-section characterized by many small gaps and several intersections between the faults and the horizons.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"14 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":"122927940","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: 10.3997/2214-4609.201801520
V. Carreira, C. P. Neto, R. Bijani
Summary This work aims to define a comparison between a Kohonen SOM, an euclidean and a mahalanobean classificators. This comparison uses two well log data from a synthetic syneclises sedimentary basin type. It is remarkable that the Mahalanobis classifier produced a higher error when compared to the Euclidean classifier and the SOM. The SOM presented better results for the two synthetic examples, with an error of 0.7% for the first well and 1.5% for the second. In contrast, Mahalanobis and Euclidean classifiers presented an error of 18.3% and 1.7% respectively for the first well and 11.3% and 6% for the second.
{"title":"A Comparison of Machine Learning Processes for Classification of Rock Units Using Well Log Data","authors":"V. Carreira, C. P. Neto, R. Bijani","doi":"10.3997/2214-4609.201801520","DOIUrl":"https://doi.org/10.3997/2214-4609.201801520","url":null,"abstract":"Summary This work aims to define a comparison between a Kohonen SOM, an euclidean and a mahalanobean classificators. This comparison uses two well log data from a synthetic syneclises sedimentary basin type. It is remarkable that the Mahalanobis classifier produced a higher error when compared to the Euclidean classifier and the SOM. The SOM presented better results for the two synthetic examples, with an error of 0.7% for the first well and 1.5% for the second. In contrast, Mahalanobis and Euclidean classifiers presented an error of 18.3% and 1.7% respectively for the first well and 11.3% and 6% for the second.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"49 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":"122530111","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: 10.3997/2214-4609.201801538
I. Lehocki, P. Avseth
Purely physics-driven inversion scheme free of empirical relationships has been developed with the goal of inverting the noise-free PP-gathers for the model parameters, namely the exact ρ - AI - - quadruplet entering Zoeppritz formula. In order to achieve this goal, three scaler-independent angles were observed, two of which for the following conditions hold: 1) RC(θ) = 0, 2) RC(θ) = min. The third angle is the critical angle. Moreover, assuming that the scaler does not depend on the incident angle of the plane wave, it has been shown that its value can be accurately reconstructed.
{"title":"AVO Inversion Using Physical Constraints","authors":"I. Lehocki, P. Avseth","doi":"10.3997/2214-4609.201801538","DOIUrl":"https://doi.org/10.3997/2214-4609.201801538","url":null,"abstract":"Purely physics-driven inversion scheme free of empirical relationships has been developed with the goal of inverting the noise-free PP-gathers for the model parameters, namely the exact ρ - AI - - quadruplet entering Zoeppritz formula. In order to achieve this goal, three scaler-independent angles were observed, two of which for the following conditions hold: 1) RC(θ) = 0, 2) RC(θ) = min. The third angle is the critical angle. Moreover, assuming that the scaler does not depend on the incident angle of the plane wave, it has been shown that its value can be accurately reconstructed.","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":"122625392","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: 10.3997/2214-4609.201801594
J. Dashti, M. Al-Awadi, F. Al-Qattan, Thuwaini Al-Meshilah, A. Shoeibi, B. Cecconi, J. Estarabadi
{"title":"Mud Gas Isotope Logging while Drilling the Benefits of Analysing Iso C2 and Iso C3 at Wellsite","authors":"J. Dashti, M. Al-Awadi, F. Al-Qattan, Thuwaini Al-Meshilah, A. Shoeibi, B. Cecconi, J. Estarabadi","doi":"10.3997/2214-4609.201801594","DOIUrl":"https://doi.org/10.3997/2214-4609.201801594","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"3 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":"114439874","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: 10.3997/2214-4609.201800923
J. Lowell, G. Paton
Attempts to fully automate seismic interpretation date back to the earliest days of interpretation workstations and have met with limited success. Even with state of art automated and semi-automated tracking approaches, horizon interpretation of 3D seismic data remains a challenging and time consuming task. This effort is compounded when seismic data is reprocessed, or time lapsed data is made available and the original tracked horizon needs reinterpreting. To that end, an improvement in overall efficiency could be achieved if previously interpreted horizons could be autonomously morphed to fit new datasets. A new artificial intelligence workflow is proposed that is capable of transferring a degree of geological understanding between similar 3D seismic datasets (4D, reprocessed) in order to morph horizons picked on one dataset to another. The proposed workflow uses a deep learning neural network to learn the geological characteristics of an event in one dataset and recognise the same event in another dataset, even when the event is visibly different or has shifted location. Deep learning neural networks have demonstrated the ability to learn and distinguish subtle differences in events between multiple volumes and automatically adjust previous tracked horizons, which would be time consuming to identify using traditional interpretation techniques.
{"title":"Deep Learning Based Horizon Interpretation","authors":"J. Lowell, G. Paton","doi":"10.3997/2214-4609.201800923","DOIUrl":"https://doi.org/10.3997/2214-4609.201800923","url":null,"abstract":"Attempts to fully automate seismic interpretation date back to the earliest days of interpretation workstations and have met with limited success. Even with state of art automated and semi-automated tracking approaches, horizon interpretation of 3D seismic data remains a challenging and time consuming task. \u0000\u0000This effort is compounded when seismic data is reprocessed, or time lapsed data is made available and the original tracked horizon needs reinterpreting. To that end, an improvement in overall efficiency could be achieved if previously interpreted horizons could be autonomously morphed to fit new datasets. \u0000\u0000A new artificial intelligence workflow is proposed that is capable of transferring a degree of geological understanding between similar 3D seismic datasets (4D, reprocessed) in order to morph horizons picked on one dataset to another. \u0000\u0000The proposed workflow uses a deep learning neural network to learn the geological characteristics of an event in one dataset and recognise the same event in another dataset, even when the event is visibly different or has shifted location. \u0000\u0000Deep learning neural networks have demonstrated the ability to learn and distinguish subtle differences in events between multiple volumes and automatically adjust previous tracked horizons, which would be time consuming to identify using traditional interpretation techniques.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"17 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":"114473253","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: 10.3997/2214-4609.201801590
G. Zeynalov, S. Alkhasli
Summary Azerbaijan territory is located in the Alpine-Himalayan fold belt and its main geo-structural elements are the South Caspian basin (SCB) in the east and the Kura basin in the west. This region structurally was complicated by north-east compressional deformation which caused generation of deformation bands in sandstones of plunging anticlines with significant influence to their reservoir properties. Among the folds of the Productive Series complicated with structural deformations, Maliy Kharami and Yasamal Valley fields in are of particular interest. The aim of this study is to evaluate the structurally deformed reservoir rock properties in mentioned fields based on outcrop measurements and lab experiments. The scope of the research includes examination of correlation between dipping of layers and quantity of deformation bands observed along and across steeply dipping and plunged layers of anticline limbs. Also, evaluation elastic properties prediction with respect to mineralogical composition, which controls elastic properties of the rock, its mineralogical composition has also been investigated. Influence of deformation bands on rock filtration properties is quantified on the field and lab-plug scales. A descending trend is observed between permeability of sandstones and number of deformation bands across the investigated anticline and compared to shale volume impact.
{"title":"Structural Deformation and its Impact to Sandstone Reservoirs in Eastern Azerbaijan","authors":"G. Zeynalov, S. Alkhasli","doi":"10.3997/2214-4609.201801590","DOIUrl":"https://doi.org/10.3997/2214-4609.201801590","url":null,"abstract":"Summary Azerbaijan territory is located in the Alpine-Himalayan fold belt and its main geo-structural elements are the South Caspian basin (SCB) in the east and the Kura basin in the west. This region structurally was complicated by north-east compressional deformation which caused generation of deformation bands in sandstones of plunging anticlines with significant influence to their reservoir properties. Among the folds of the Productive Series complicated with structural deformations, Maliy Kharami and Yasamal Valley fields in are of particular interest. The aim of this study is to evaluate the structurally deformed reservoir rock properties in mentioned fields based on outcrop measurements and lab experiments. The scope of the research includes examination of correlation between dipping of layers and quantity of deformation bands observed along and across steeply dipping and plunged layers of anticline limbs. Also, evaluation elastic properties prediction with respect to mineralogical composition, which controls elastic properties of the rock, its mineralogical composition has also been investigated. Influence of deformation bands on rock filtration properties is quantified on the field and lab-plug scales. A descending trend is observed between permeability of sandstones and number of deformation bands across the investigated anticline and compared to shale volume impact.","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":"121879418","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: 10.3997/2214-4609.201800830
Jaeyoung Choi, Yuxin Wu, L. Slater
The ability of induced polarization (IP) to monitor reduction in reactive iron performance is being investigated in the laboratory. Low frequency (0.1-1000 Hz) electrical properties are sensitive to metal-aqueous solution interface chemistry. Measurements have focused on sensitivity of IP to changes in Fe0 surface chemistry with aging due to mineral precipitation and aqueous electrochemical controls. High sensitivity of parameters defining polarization magnitude at/near the metal surface to total Fe0 surface area is observed. Polarization magnitude and dominant relaxation time correlate with electrolyte activity for 0.001-1.0 M for NaNO3, NaCl and CaCl2. Both parameters depend also on valence. Observations are consistent with double-layer (EDL) theory for the thickness of the EDL, although the electrochemical polarization mechanism observed with IP is uncertain. Polarization magnitude shows no relationship to pH, indicating that the fixed charge does not contribute to IP. Th e effects of Fe-precipitation by OH, SO4, PO4 and CO3 on electrical parameters was investigated for Fe0-sand samples (10% Fe0) over a period of induced precipitation. Aqueous chemistry was monitored and Fe0 surface precipitation verified by x-ray diffraction/scanning electron microscopy. Changes in electrical parameters provide insight into the sensitivity of the low-frequency electrical method for monitoring PRBs.
{"title":"Effects of Precipitation on the Low-Frequency Electrical Properties of PRB: Implications for Monitoring PRBs","authors":"Jaeyoung Choi, Yuxin Wu, L. Slater","doi":"10.3997/2214-4609.201800830","DOIUrl":"https://doi.org/10.3997/2214-4609.201800830","url":null,"abstract":"The ability of induced polarization (IP) to monitor reduction in reactive iron performance is being investigated in the laboratory. Low frequency (0.1-1000 Hz) electrical properties are sensitive to metal-aqueous solution interface chemistry. Measurements have focused on sensitivity of IP to changes in Fe0 surface chemistry with aging due to mineral precipitation and aqueous electrochemical controls. High sensitivity of parameters defining polarization magnitude at/near the metal surface to total Fe0 surface area is observed. Polarization magnitude and dominant relaxation time correlate with electrolyte activity for 0.001-1.0 M for NaNO3, NaCl and CaCl2. Both parameters depend also on valence. Observations are consistent with double-layer (EDL) theory for the thickness of the EDL, although the electrochemical polarization mechanism observed with IP is uncertain. Polarization magnitude shows no relationship to pH, indicating that the fixed charge does not contribute to IP. Th e effects of Fe-precipitation by OH, SO4, PO4 and CO3 on electrical parameters was investigated for Fe0-sand samples (10% Fe0) over a period of induced precipitation. Aqueous chemistry was monitored and Fe0 surface precipitation verified by x-ray diffraction/scanning electron microscopy. Changes in electrical parameters provide insight into the sensitivity of the low-frequency electrical method for monitoring PRBs.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"1704 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":"122105155","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：