储层表征

地震2024

最近的技术论文进一步表明,先进地震技术和机器学习的应用稳步增加,以成熟生产“滞留”和“优势”含油气藏;改进碳捕获、储存和泄漏检测;并分析天然和人工裂缝性储层。

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2023 年在迪拜举行的 COP28 会议圆满结束。主要亮点是政府和私营部门承诺到 2030 年实现零甲烷生产,到 2050 年实现运营温室气体净零排放,并在这十年内将可再生能源发电能力提高两倍,能源效率提高一倍。我们在清洁能源生产的集体道路上已经取得了巨大进展,现在我们必须更上一层楼。

在过去几年中,JPT 的地震功能以高度创新的地震技术和专注于减少碳足迹的机器学习工作流程为标志;前沿探索、扩大中心地带和棕地开发;改进了用于储层表征和裂缝诊断的地震勘探、成像和属性分析,这符合 COP28 的承诺。今年的特点也不例外。

最近的技术论文标题进一步表明,先进地震技术和机器学习在成熟“搁置”和“优势”含油气藏生产中的应用稳步增加;改进碳捕获、储存和泄漏检测;并分析自然和人工诱发的裂缝性储层和地震活动。所选论文反映了这些主题。

此外,推荐论文中还介绍了地震技术的一些显着应用。它们包括以下内容:

  • 二维非线性地震现场响应分析,用于确定粉质沉积物的能力是否能够支撑地震时管道终端的荷载
  • 业界领先的地震勘测技术 Marine Vibrator 的试点测试结果
  • 高分辨率模型可推断德克萨斯州中北部沃斯堡盆地的废水注入导致的孔隙压力增加是否导致地震活动增加
  • 4D 时间/深度变化和应变信号成功用于估计墨西哥湾的压力损耗

其他人正在应用先进的测量和建模技术,在多层非均质砂岩储层中优化放置长水平注入井,并根据地震速度和孔隙压力预测来预测储层的存在。

这些主题将提供见解,帮助我们实现 COP28 的目标,同时我们期待 2024 年有更多令人兴奋的创新。

本月的技术论文

研究调查碳储存泄漏检测的地震监测

地震后处理克服了埃及近海油田的不确定性

机器学习为 CCUS 提供断裂分析和绘图

推荐阅读
OTC 32267 可液化海底泥浆的地震稳定性评估, 作者:挪威岩土工程研究所的 Brian Carlton 等人。

OTC 32393 通过地震速度测绘和孔隙压力预测预测储层存在, 作者:Matthew James Legg,壳牌

OTC 32741 海洋振动器里程碑:由 R. Alfaro、TotalEnergies 等人进行的试点地震勘测。

SPE 212951 沃斯堡盆地孔隙压力变化、断层滑动潜力和诱发地震活动的高分辨率模拟, 作者:Changqing Yao,德克萨斯农工大学等人。

URTeC 3870451 酸化岩心驱替过程中裂缝粗糙度对钙质页岩中细粉迁移和裂缝孔径增长的影响作者: Hasan J. Khan,法赫德国王石油矿产大学等人。

Eudorah Ochai-Audu, SPE,是壳牌尼日利亚公司的陆上勘探业务机会经理和规划负责人。她拥有伦敦大学皇家霍洛威学院石油地球科学硕士学位,并且是尼日利亚采矿工程师和地球科学家委员会的专业人士。Ochai-Audu 于 2008 年加入壳牌,担任实习地球科学家。在担任现职之前,她是一名高级生产地震学家,在 3D 地震解释、静态油藏建模和作业地质学方面拥有超过 13 年的经验,并参与了多个油田开发计划、油气藏评估和现场执行尼日利亚和中东的项目。奥猜-奥杜最大的热情之一是人才发展,对年轻专业人士和学生的职业指导和指导有着浓厚的兴趣。她大力倡导持续改进、知识共享和利用技术简化工作。Ochai-Audu 是JPT编辑审查委员会的成员。

原文链接/jpt
Reservoir characterization

Seismic-2024

Recent technical papers have further shown the steady increase in the application of advanced seismic techniques and machine learning to mature to production “stranded” and “advantaged” hydrocarbon-bearing accumulations ; improve carbon capture, storage, and leak detection; and analyze naturally and artificially fractured reservoirs.

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2023 wrapped up nicely with COP28 in Dubai. The key highlights were the commitments by both governments and the private sector to zero-methane production by 2030, net-zero greenhouse gas emissions from operations by 2050, and triple renewable power-generation capacity and double energy efficiency in this decade. There has been tremendous progress on our collective journey toward cleaner energy production, and now we must take it a notch higher.

In the past couple of years, JPT’s Seismic feature has been marked by highly innovative seismic techniques and machine-learning work flows focused on reduction of carbon footprint; frontier exploration, expanding heartlands and brownfield development; and improved seismic survey, imaging, and attribute analysis for reservoir characterization and fracture diagnostics, which are in line with the COP28 pledges. This year’s feature is no different.

Recent technical-paper titles have further shown the steady increase in the application of advanced seismic techniques and machine learning to mature “stranded” and “advantaged” hydrocarbon-bearing accumulations to production; improve carbon capture, storage, and leak detection; and analyze naturally and artificially induced fractured reservoirs and seismicity. The selected papers are reflective of these themes.

In addition, some remarkable applications of seismic techniques are presented in the recommended papers. They include the following:

  • 2D nonlinear seismic site response analyses used to determine if the capacity of a silty sedimentation could support the load of a pipeline end termination in the event of an earthquake
  • The results of a pilot test of the Marine Vibrator, an industry-leading seismic-survey technique
  • High-resolution modeling to infer if an increase in seismicity is caused by an increase in pore pressure from wastewater injection in the Fort Worth Basin of north central Texas
  • 4D time/depth shifts and strain signals successfully used to estimate pressure depletion in the Gulf of Mexico

Others are applying advanced measurement and modeling techniques to optimally place a long horizontal injector well in multilayered heterogeneous sandstone reservoirs and predicting reservoir presence from seismic velocity and pore-pressure prediction.

These topics will supply the insights that will help us achieve the COP28 targets while we look forward to more exciting innovations in 2024.

This Month’s Technical Papers

Study Investigates Seismic Monitoring for Carbon Storage Leak Detection

Seismic Reprocessing Overcomes Uncertainty in Offshore Egyptian Field

Machine Learning Provides Fracture Analysis, Mapping for CCUS

Recommended Additional Reading
OTC 32267 Seismic Stability Assessment of a Mudmat on Liquefiable Seabed by Brian Carlton, Norwegian Geotechnical Institute, et al.

OTC 32393 Predicting Reservoir Presence From Seismic Velocity Mapping and Pore-Pressure Prediction by Matthew James Legg, Shell

OTC 32741 Marine Vibrator Milestone: A Pilot Seismic Survey by R. Alfaro, TotalEnergies, et al.

SPE 212951 High-Resolution Modeling of Pore-Pressure Change, Fault Slip Potential, and Induced Seismicity in the Fort Worth Basin by Changqing Yao, Texas A&M University, et al.

URTeC 3870451 Impact of Fracture Roughness on Fines Migration and Fracture-Aperture Growth in Calcareous Shale Rocks During Acidized Corefloods by Hasan J. Khan, King Fahd University of Petroleum and Minerals, et al.

Eudorah Ochai-Audu, SPE, is onshore exploration business opportunity manager and planning lead for Shell Nigeria. She holds an MS degree in petroleum geosciences from Royal Holloway, University of London, and is a professional with the Council of Nigeria Mining Engineers and Geoscientists. Ochai-Audu joined Shell in 2008 as a trainee geoscientist. Before her current role, she was a senior production seismologist with more than 13 years of experience in 3D seismic interpretation, static reservoir modeling, and operations geology, and has been involved in several field development plans, oil and gas reservoir evaluations, and field execution projects in Nigeria and the Middle East. One of Ochai-Audu’s greatest passions is talent development, with a strong interest in career coaching and mentoring for young professionals and students. She is a strong advocate for continuous improvement, knowledge sharing, and work simplification leveraging technology. Ochai-Audu is a member of the JPT Editorial Review Board.