次调谐礁礁碳酸盐的随机反演岩石物理建模:Soğucak组,色雷斯盆地,土耳其

IF 1.8 3区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS
Ergin Karaca, İsmail Ömer Yılmaz, Günay Çifci
{"title":"次调谐礁礁碳酸盐的随机反演岩石物理建模:Soğucak组,色雷斯盆地,土耳其","authors":"Ergin Karaca,&nbsp;İsmail Ömer Yılmaz,&nbsp;Günay Çifci","doi":"10.1111/1365-2478.70091","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Seismic inversion plays a critical role in populating subsurface properties into geomodel; however, its effectiveness is often constrained by the resolution limits of seismic data. This study evaluates the effectiveness of stochastic versus deterministic acoustic-impedance inversion for estimating total porosity (<i>Φ</i><sub>total</sub>), effective porosity (<i>Φ</i><sub>e</sub>) and permeability (<i>K</i>) in the complex reefal carbonates of the Soğucak formation, Deveçatağı oil field—northwestern Thrace Basin, Türkiye—whose thickness ranges from 2 to 57 m. The wedge model indicates a tuning thickness of 60 m in Soğucak formation which limits the vertical resolution of the deterministic inversion that directly affects the geomodel resolution. To address this challenge, a stochastic inversion was performed to resolve beds below the tuning thickness, using a high-resolution 1 millisecond (ms) vertical sampling grid and producing non-unique, fine-layered impedance realizations. Petrophysical relationships were established using 75 core plugs showing strong porosity–permeability trends that were cross-validated with wireline logs. These relationships were applied to acoustic-impedance volumes derived from both deterministic and stochastic inversion. Correlations at well locations used in the model are naturally higher due to constraints from acoustic-impedance logs; therefore, we emphasized blind-well correlations to assess predictive performance at locations without well control. Blind-well tests at W-2, W-4, W-6 and W-11 demonstrate valid predictive capability, with stochastic inversion achieving correlations of 0.65–0.73 compared to 0.45–0.52 for deterministic inversion, effectively resolving sub-tuning thickness beds and reliably predicting porosity and permeability. By overcoming the resolution limitations of deterministic inversion, stochastic inversion supported by robust petrophysical relationships—when applicable—provides a reliable and field-proven tool that can be adapted to carbonate reservoirs in diverse geological settings worldwide.</p>\n </div>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 8","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastic Inversion-Driven Petrophysical Modelling in Sub-Tuning Reefal Carbonates: Soğucak Formation, Thrace Basin, Türkiye\",\"authors\":\"Ergin Karaca,&nbsp;İsmail Ömer Yılmaz,&nbsp;Günay Çifci\",\"doi\":\"10.1111/1365-2478.70091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Seismic inversion plays a critical role in populating subsurface properties into geomodel; however, its effectiveness is often constrained by the resolution limits of seismic data. This study evaluates the effectiveness of stochastic versus deterministic acoustic-impedance inversion for estimating total porosity (<i>Φ</i><sub>total</sub>), effective porosity (<i>Φ</i><sub>e</sub>) and permeability (<i>K</i>) in the complex reefal carbonates of the Soğucak formation, Deveçatağı oil field—northwestern Thrace Basin, Türkiye—whose thickness ranges from 2 to 57 m. The wedge model indicates a tuning thickness of 60 m in Soğucak formation which limits the vertical resolution of the deterministic inversion that directly affects the geomodel resolution. To address this challenge, a stochastic inversion was performed to resolve beds below the tuning thickness, using a high-resolution 1 millisecond (ms) vertical sampling grid and producing non-unique, fine-layered impedance realizations. Petrophysical relationships were established using 75 core plugs showing strong porosity–permeability trends that were cross-validated with wireline logs. These relationships were applied to acoustic-impedance volumes derived from both deterministic and stochastic inversion. Correlations at well locations used in the model are naturally higher due to constraints from acoustic-impedance logs; therefore, we emphasized blind-well correlations to assess predictive performance at locations without well control. Blind-well tests at W-2, W-4, W-6 and W-11 demonstrate valid predictive capability, with stochastic inversion achieving correlations of 0.65–0.73 compared to 0.45–0.52 for deterministic inversion, effectively resolving sub-tuning thickness beds and reliably predicting porosity and permeability. By overcoming the resolution limitations of deterministic inversion, stochastic inversion supported by robust petrophysical relationships—when applicable—provides a reliable and field-proven tool that can be adapted to carbonate reservoirs in diverse geological settings worldwide.</p>\\n </div>\",\"PeriodicalId\":12793,\"journal\":{\"name\":\"Geophysical Prospecting\",\"volume\":\"73 8\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geophysical Prospecting\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1365-2478.70091\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geophysical Prospecting","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1365-2478.70091","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

地震反演在将地下属性填充到地质模型中起着至关重要的作用;然而,其有效性往往受到地震资料分辨率的限制。本研究评估了 rkiye - Deveçatağı油田西北部色雷斯盆地Soğucak组复杂礁礁碳酸盐岩(厚度为2 ~ 57 m)总孔隙度(Φtotal)、有效孔隙度(Φe)和渗透率(K)的随机声阻抗反演与确定性声阻抗反演的有效性。楔形模型表明Soğucak地层的调谐厚度为60 m,这限制了确定性反演的垂直分辨率,直接影响了地质模型的分辨率。为了解决这一问题,研究人员使用高分辨率的1毫秒(ms)垂直采样网格进行随机反演,以解析调谐厚度以下的地层,并产生非唯一的细层阻抗实现。使用75个岩心桥塞建立岩石物理关系,显示出强烈的孔隙度-渗透率趋势,并与电缆测井交叉验证。这些关系应用于由确定性和随机反演得出的声阻抗体积。由于声阻抗测井的限制,模型中使用的井位相关性自然更高;因此,我们强调盲井相关性,以评估无井控位置的预测性能。W-2、W-4、W-6和W-11的盲井测试证明了有效的预测能力,随机反演的相关性为0.65-0.73,而确定性反演的相关性为0.45-0.52,有效地解决了亚调整厚度层,并可靠地预测了孔隙度和渗透率。通过克服确定性反演的分辨率限制,在可靠的岩石物理关系的支持下,随机反演提供了一种可靠的、经过现场验证的工具,可以适用于全球不同地质环境的碳酸盐岩储层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Stochastic Inversion-Driven Petrophysical Modelling in Sub-Tuning Reefal Carbonates: Soğucak Formation, Thrace Basin, Türkiye

Stochastic Inversion-Driven Petrophysical Modelling in Sub-Tuning Reefal Carbonates: Soğucak Formation, Thrace Basin, Türkiye

Seismic inversion plays a critical role in populating subsurface properties into geomodel; however, its effectiveness is often constrained by the resolution limits of seismic data. This study evaluates the effectiveness of stochastic versus deterministic acoustic-impedance inversion for estimating total porosity (Φtotal), effective porosity (Φe) and permeability (K) in the complex reefal carbonates of the Soğucak formation, Deveçatağı oil field—northwestern Thrace Basin, Türkiye—whose thickness ranges from 2 to 57 m. The wedge model indicates a tuning thickness of 60 m in Soğucak formation which limits the vertical resolution of the deterministic inversion that directly affects the geomodel resolution. To address this challenge, a stochastic inversion was performed to resolve beds below the tuning thickness, using a high-resolution 1 millisecond (ms) vertical sampling grid and producing non-unique, fine-layered impedance realizations. Petrophysical relationships were established using 75 core plugs showing strong porosity–permeability trends that were cross-validated with wireline logs. These relationships were applied to acoustic-impedance volumes derived from both deterministic and stochastic inversion. Correlations at well locations used in the model are naturally higher due to constraints from acoustic-impedance logs; therefore, we emphasized blind-well correlations to assess predictive performance at locations without well control. Blind-well tests at W-2, W-4, W-6 and W-11 demonstrate valid predictive capability, with stochastic inversion achieving correlations of 0.65–0.73 compared to 0.45–0.52 for deterministic inversion, effectively resolving sub-tuning thickness beds and reliably predicting porosity and permeability. By overcoming the resolution limitations of deterministic inversion, stochastic inversion supported by robust petrophysical relationships—when applicable—provides a reliable and field-proven tool that can be adapted to carbonate reservoirs in diverse geological settings worldwide.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Geophysical Prospecting
Geophysical Prospecting 地学-地球化学与地球物理
CiteScore
4.90
自引率
11.50%
发文量
118
审稿时长
4.5 months
期刊介绍: Geophysical Prospecting publishes the best in primary research on the science of geophysics as it applies to the exploration, evaluation and extraction of earth resources. Drawing heavily on contributions from researchers in the oil and mineral exploration industries, the journal has a very practical slant. Although the journal provides a valuable forum for communication among workers in these fields, it is also ideally suited to researchers in academic geophysics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信