探索:美国墨西哥湾运营商在盐模拟方面的进步

这是一个例子,说明全张量重力梯度测量数据如何使美国墨西哥湾的勘探与生产操作员能够准确地模拟顶部本土盐和基础异地盐。

(来源:Hart Energy 的 Collage;图片由 Shutterstock.com 提供)

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勘探与生产标志

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美国墨西哥湾的新租赁者可能希望使用现有的全张量重力梯度测量数据作为精确建模的工具来了解新土地的基础盐。

美国海洋能源管理局(BOEM)美国墨西哥湾257号租约出售已于11月17日完成。此次拍卖共产生了 307 个地块近 1.92 亿美元的高价,共有 33 家公司参与了 257 个地块的拍卖。 

墨西哥湾外大陆架 (OCS) 占地约 1.6 亿英亩。据 BOEM 报道,该地区预计蕴藏近 480 亿桶未发现的技术可采石油以及 141 万亿立方英尺未发现的技术可采天然气。然而,墨西哥湾的技术挑战之一是对盐进行建模。

传统上,构建盐模型可能需要数月时间。利用位场数据,三维盐模型通常只需几周时间。这种类型的模型允许操作员捕获顶部本地盐和底部异地盐(图一)。

Bell Geospace 在墨西哥湾拥有 67,000 平方公里的现有可用全张量重力梯度 (FTG) 势场数据(图二),该公司于 2020 年重新处理了这些数据。

Bell Geospace 图二 - 美国墨西哥湾 Bell Geospace FTG 数据地图
Bell Geospace 图二 - 美国墨西哥湾 Bell Geospace FTG 数据地图

FTG 数据的主要用途之一是它可用于对基础盐进行建模以及用于盐周围的速度模型。 

本文讨论了一个简短的案例研究来演示建模概念的实际应用。在这个具体示例中,两家公司在墨西哥湾的同一盐区发生了地震。 

在地震的某一剖面上可以清楚地描绘出异地盐体的底部,但在其他剖面上却无法清楚地确定。因此,这次较早的地震给两家公司带来了问题。

一家公司在有明确尽头的地方钻通了盐。第二家公司决定利用地震来猜测盐底可能在哪里。不幸的是,他们的猜测并没有得到回报——第二家公司从未用盐成功,而第一家却做到了。

然后,第二家公司将其地震与该地区的贝尔地理空间 FTG 结合起来。通过解释和反演,Earthfield Technology 和 Flat Irons Geophysicals 的专家解释员在模型中使用了 FTG 数据,该模型显示两个盐体是相连的(图三)。通过他们的新模型,操作员可以清楚地看到为什么他们选择了错误的区域进行钻探。

贝尔地理空间图三 - 解释的盐模型 FTG 数据
贝尔地理空间图三 - 解释的盐模型 FTG 数据

Bell Geospace 目前正在与新租赁方合作进行 2D 建模练习,并为新面积的基础建模提出建议。建议可能包括数据合并或 3D 盐建模,如本文中讨论的那样。盐和背景密度结构之间存在相对较强的密度对比,这使其成为位场数据发挥重要作用的理想环境。解释人员通常能够从所获取的数据中确定非常有价值的地质见解,而操作员则从数据购买所涉及的相对较低的成本中受益。

可以运行多种场景,传统地震可以约束模型并找到盐的肩部或侧面,而不是冒着钻入不良地震反射体背面的深层盐的风险。了解盐的极端情况变得完全可能,相对较快且易于实现。

建议使用几个模型作为反演过程的约束,这些模型是根据 FTG 和地震数据组合创建的。这一过程可以在整个盆地区域内完成,也可以使用专用的高分辨率机载勘测来构建更详细的模型。在墨西哥湾的这个案例中,海洋多客户端 FTG 已经被收购,因此可以立即使用。

碳捕获储存 

随着地下存储成为现实,FTG 数据还可以发挥有趣的作用。FTG 识别并描绘了地下密度对比,无论它们是由洞穴、空隙、浅盐体等产生的。已经有工程公司将这些地下结构转变为储存地点。由于 FTG 还绘制了断裂模式图,因此这对于该应用至关重要。显然,将 FTG 作为墨西哥湾的推动者来帮助确定可后续作为潜在开发地点的区域是最可行的方法。 

中美洲的新数据采集 

贝尔地理空间公司的一架飞机将于新年飞往墨西哥,获取瓦拉克鲁斯地区及其周边地区新的机载地球物理数据。位于美国和中美洲的运营商受邀使用贝尔地理空间免费可行性研究服务,详细信息可在线获取。当飞机在该地区时获取 FTG 数据,可以显着减少勘探活动的碳足迹,并显着节省成本并提高运营效率。


作者简介: Julianne Sharples 担任贝尔地理空间公司的国际营销经理。Sharples 常驻爱丁堡办事处,负责全球营销计划、公共关系和社区联络。在加入贝尔之前,她在 Ikon Science 工作了十年,在那里她对推广地球科学行业的领先技术产生了热情。她的早期职业生涯是在伦敦顶级广告公司度过的,代表宝洁公司的快速消费品。

原文链接/hartenergy

Exploration: Advancements in Salt Modeling by US Gulf of Mexico Operators

Here’s an example of how full tensor gravity gradiometry data allowed E&P operators in the U.S. Gulf of Mexico to accurately model the top autochthonous and base allochthonous salt.

(Source: Collage by Hart Energy; images by Shutterstock.com)

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New leaseholders in the U.S. Gulf of Mexico could be looking to understand the base salts of new acreage using existing full tensor gravity gradiometry data as a tool for accurate modelling.

The U.S. Bureau of Ocean Energy Management (BOEM) U.S. Gulf of Mexico Lease Sale 257 completed on Nov.17. The auction generated nearly $192 million in high bids placed on 307 blocks and that a total of 33 companies participated in Sale 257. 

The Gulf of Mexico Outer Continental Shelf (OCS) spans around 160 million acres. It is reported by BOEM that this acreage is projected to contain nearly 48 billion barrels of undiscovered technically recoverable oil along with 141 trillion cubic feet of undiscovered technically recoverable gas. However, one of the technical challenges in the Gulf of Mexico is modeling salt.

Traditionally, building a salt model can take many months. With potential fields data, a three-dimensional salt model will usually take just a few weeks. This type of model allows operators to capture both the top autochthonous and base allochthonous salt (Figure One).

Bell Geospace has 67,000 sq km of existing and available full tensor gravity gradiometry (FTG) potential fields data in the Gulf of Mexico (Figure Two) and the company reprocessed this data in 2020.

Bell Geospace Figure Two - Map of Bell Geospace FTG Data in U.S. Gulf of Mexico
Bell Geospace Figure Two - Map of Bell Geospace FTG Data in U.S. Gulf of Mexico

One of the prime uses for FTG data is that it can be used for modeling base salt as well as being used for velocity models surrounding the salt. 

This article discusses a brief case study to demonstrate the modeling concept in action. In this specific example, two companies had seismic over the same area of salt in the Gulf of Mexico. 

The bottom of the allochthonous salt body was clearly depicted on one section of the seismic, but could not be clearly determined in other sections. This older seismic was therefore problematic for the two companies.

One company drilled through their salt where there was a clear end. The second company decided to use the seismic to make an informed guess about where the salt bottom might be. Unfortunately, their guesswork didn’t pay off—the second company never made it out of the salt while the first did.

The second company then combined their seismic with the Bell Geospace FTG over the area. Via interpretations and inversions, FTG data was used by the expert interpreters at Earthfield Technology and Flat Irons Geophysics, in a model which showed that the two salt bodies were connected (Figure Three). With their new model, the operator could clearly see why they’d chosen the wrong area to drill into.

Bell Geospace Figure Three - Interpreted FTG Data of Salt Models
Bell Geospace Figure Three - Interpreted FTG Data of Salt Models

Bell Geospace, is currently working with the new leaseholders on 2D modeling exercises and is making recommendations for base modeling new acreage. Recommendations may include data merging or 3D salt modeling like that discussed in this article. There is a relatively strong density contrast between salt and background density structure making it an ideal environment for potential field data to play a vital role. Interpreters are regularly able to ascertain immensely valuable geological insights from this acquired data and operators have benefited from the comparatively minimal costs involved in data purchase.

Multiple scenarios can be run and legacy seismic can constrain the models and find the shoulder or flank of the salt instead of risking drilling into deep salt on the back of poor seismic reflectors. Understanding the extremities of the salt becomes entirely possible, relatively fast, and simple to achieve.

It is recommended that several models are used as constraints for the inversion process, created from the combined FTG and seismic data. This process can be done regionally over an entire basin or more detailed models can be built using a dedicated high-resolution airborne survey. In this case for the Gulf of Mexico, the marine multiclient FTG has already been acquired and so is ready to work with immediately.

Carbon Capture Storage 

FTG data could additionally play an interesting role as underground storage becomes a reality. FTG identifies and delineates sub-surface density contrasts, be they generated by caverns, voids, shallow salt bodies etc. There are already engineering firms converting these sub-surface structures into storage sites. As FTG also maps fracture patterns, this is crucial for this application. It is clearly a most viable way forward to introduce FTG as an enabler in the Gulf of Mexico to help identify zones which could be followed up as potential development sites. 

New Data Acquisition in Central America 

A Bell Geospace aircraft will be traveling to Mexico in the New Year to acquire new airborne geophysical data in and around the Varacruz region. Operators located in U.S. and Central America are invited to make use of the Bell Geospace free feasibility study service, details of which are available online. Acquiring FTG data whilst a plane is in the region, significantly reduces the carbon footprint of exploration initiatives and comes with notable cost savings and operational efficiencies.


About the author: Julianne Sharples serves as international marketing manager at Bell Geospace. Sharples is based in the Edinburgh office and is responsible for global marketing initiatives, public relations and community liaison. Prior to joining Bell, she spent a decade with Ikon Science where she developed a passion for promoting leading technology in the geoscience industry. Her early career was spent with top London advertising agencies representing Procter & Gamble's FMCG products.