每一滴:人工智能分析揭示石油行业在现有油田中蕴藏的万亿桶石油机会


由《油田技术》编辑助理出版


伍德麦肯兹的开创性分析显示,石油行业在现有油田中拥有万亿桶的储量机会,无需重大新发现,即可满足 2050 年之前的全球需求。

伍德麦肯兹能源研究高级副总裁安德鲁·莱瑟姆表示:“石油行业面临的挑战巨大。根据我们《能源转型展望》的基准情景,到2050年,液体燃料总需求将略低于1万亿桶。如果不升级当前的开发计划,目前在产油田的产量将缺口近3000亿桶。在我们延迟转型的情景下,这一缺口将再增加500亿桶。”

Wood Mackenzie 专有的 Synoptic AI 油田性能分析表明,现有油田远未枯竭。全新 AI 驱动的 Analogues 功能能够高效、公正地评估 Wood Mackenzie 业已领先的数据,从而提供此前被忽视的关于油田采收潜力的洞察。

在“类似物”功能的首次部署中,一项研究表明,提高在产油田的采收率可以额外增产4700亿桶至1万亿桶以上。这一潜力的实现仅需应用行业内已成功部署的最佳实践,而非未经验证的技术。

国家石油公司控制着近70%的复苏潜力

伍德麦肯兹利用油藏地质、油气质量、原地资源量、运营商的资金和技术获取、成本和财务条款等专有数据,估算了潜在的采收率。该分析利用机器学习技术,研究了全球超过3万个油田,并在60多个参数上识别出类似的油田。

研究显示,如果达到上四分位采收率,国家石油公司 (NOC) 和国有企业运营的油田蕴藏着超过 3200 亿桶的上行潜力,如果达到最佳采收率,则蕴藏着 7000 亿桶的上行潜力,占全球机会的近 70%。

伊朗、委内瑞拉、伊拉克和俄罗斯是复苏潜力最大的国家。相比之下,大型国际石油公司尽管运营着质量高于平均水平的油田,但由于其业绩表现强劲,仅控制着全球复苏潜力的6%。

“未来的石油供应将越来越多地集中在陆上,并由国家石油公司运营,”莱瑟姆补充道。“尽管大型油企展现出了卓越的采收率,但它们也因自身成功而成为牺牲品,投资组合剩余的上涨空间有限。”

技术合作对于释放储备至关重要

分析显示,机遇地点与专业知识之间存在严重不匹配。尽管国家石油公司运营的油田地质潜力最高,可达39%,但目前的采收率略低于行业平均水平29%。这种业绩差距为国际石油公司和服务提供商与国有企业建立更深层次的合作伙伴关系创造了巨大的机会。

成功取决于国家石油公司能否改进技术和资本获取,同时为国际合作伙伴提供具有吸引力的条款。在产油田的机会远大于可用资本。寻求最佳资源开发的东道国政府需要具有吸引力的条款来获得最佳运营商。这种动态使资金雄厚的国际参与者能够通过战略合作伙伴关系获取巨大价值。

人工智能改变油田上行潜力分析

通过分析储层岩性、孔隙度、原油重力、粘度、财务条款和开发成本,Wood Mackenzie 的 AI 驱动类比功能使用机器学习相似性评分对每个油田最接近的类比进行排序

该方法为2500多个常规油田确定了四种储量方案。这些方案涵盖了当前规划下最有可能的储量,以及基于最佳类似油田的最佳潜力储量。这种客观的方法确保经验教训源自真正相似的油田,而非肤浅的模仿。

上行潜力几乎全部集中在陆上和浅海油田,分别占同类最佳油田机会的63%和31%。深水油田通常由资金雄厚、技术先进的公司运营,其剩余上行潜力不到6%。

无需发现新油田即可满足需求

这些发现挑战了人们对重大新油田发现的传统看法。自20世纪80年代以来,该行业主要通过上调现有油田产量而非新发现来满足日益增长的需求。发现量与产量之间的差距每十年都在扩大。

勘探将继续通过寻找优势资源来取代成本更高或处于劣势的油田,从而增加价值。然而,仅靠新发现根本无法弥补如此规模的缺口。

尽管石油行业仍保有近2万亿桶未开发的绿地资源,但在当前条件下,仅有不到10%的资源具有商业可行性。由于经济或技术方面的限制,大多数资源仍将处于搁浅状态。

分析总结道:“供应安全不必依赖于不可预测的勘探结果或未经证实的技术。现有油田和成熟的开采方法,通过正确的合作伙伴关系和投资方式,就能应对挑战。”

如果全行业实现前四分之一的业绩,平均采收率将从29%提高到34%,增加4700亿桶储量,并从根本上重塑全球能源安全前景。

“提高采收率对于满足未来的石油需求至关重要,因为不太可能出现足够多的新油田来抵消现有供应的自然下降,”莱瑟姆总结道。“利用人工智能来帮助了解现有油田的潜力,并评估未来世界对新油田的需求量,与传统的基于筛选的油田模拟方法相比,这是一个重大进步,因为传统的筛选方法会产生有偏差的结果。”

在线阅读文章:https://www.oilfieldtechnology.com/drilling-and-production/18092025/every-last-drop-ai-powered-analysis-reveals-oil-industrys-trillion-barrel-opportunity-in-existing-fields/

原文链接/OilFieldTechnology

Every last drop: AI-powered analysis reveals oil industry's trillion-barrel opportunity in existing fields

Published by , Editorial Assistant
Oilfield Technology,


The oil industry possesses a trillion-barrel opportunity within existing fields that could meet global demand through 2050 without major new discoveries, according to groundbreaking analysis from Wood Mackenzie.

"The oil industry's challenge is enormous," said Andrew Latham, SVP Energy Research at Wood Mackenzie. "Total liquids demand under our base-case Energy Transition Outlook scenario is just less than 1 trillion bbls through 2050. Without upgrades to current development plans, today's onstream fields are set to fall short by almost 300 billion bbls. This deficit would grow by another 50 billion bbls under our delayed transition scenario."

Wood Mackenzie’s proprietary Synoptic AI-powered analysis of oilfield performance shows existing fields are far from exhausted. The new AI-powered Analogues feature enables efficient, unbiased assessment of Wood Mackenzie’s already industry-leading data to deliver previously overlooked insights into recovery upside.

In one of the first deployments of the Analogues feature, it was revealed that better recovery from producing fields could yield an additional 470 billion to over 1000 billion bbls. This potential only requires the application of established best practices already deployed successfully across the industry, not unproven technologies.

National oil companies control almost 70% of recovery upside

Using proprietary data on reservoir geology, hydrocarbon quality, in-place resources, operator access to finance and technology, costs and fiscal terms, Wood Mackenzie estimates upside oil recovery factors. The analysis examined over 30 000 fields worldwide using machine learning to identify similar analogues across 60+ parameters.

The research reveals that national oil companies (NOCs) and state-controlled enterprises operate fields containing more than 320 billion bbls of upside potential if top-quartile recovery factor is achieved and 700 billion barrels on a best-in-class recovery basis - representing almost 70% of the global opportunity.

Iran, Venezuela, Iraq, and Russia stand out with the largest recovery upside potential of any countries. By contrast, major international oil companies, despite operating above-average quality fields, control just 6% of global upside potential due to their already strong performance levels.

"The future of oil supply will be increasingly onshore and NOC-operated," adds Latham. "While Majors have demonstrated superior recovery factors, they've become victims of their success with limited remaining portfolio upside."

Technology partnerships essential for unlocking reserves

The analysis reveals a critical mismatch between opportunity locations and expertise. NOCs currently achieve recovery factors slightly below the industry average of 29%, despite operating fields with geological potential for best-in-class performance of 39%. This performance gap creates substantial opportunities for international oil companies and service providers to forge deeper partnerships with state enterprises.

Success depends on NOCs improving technology and capital access whilst offering attractive commercial terms to international partners. More opportunities exist in producing fields than available capital. Host governments seeking optimal resource development need attractive terms to secure the best operators. This dynamic positions well-capitalised international players to capture significant value through strategic partnerships.

AI transforms analysis of oil field upside potential

By analysing reservoir lithology, porosity, oil gravity, viscosity, fiscal terms and development costs, Wood Mackenzie's AI-powered Analogues feature ranks each field's closest analogues using machine learning similarity scores

This approach identifies four reserve scenarios for over 2500 conventional oil fields. These range from most likely reserves under current plans to best-in-class potential based on top-performing analogues. The unbiased methodology ensures lessons derive from truly similar fields rather than superficial matches.

Upside potential lies almost exclusively within onshore and shallow offshore fields, accounting for 63% and 31% of best-in-class opportunities, respectively. Deepwater fields, typically operated by well-funded companies with excellent technological access, hold less than 6% of remaining upside.

Meeting demand without new oil field discoveries

The findings challenge conventional wisdom about major new oil discoveries. Since the 1980s, the industry has met growing demand primarily through upward revisions to existing fields rather than new finds. The discovery-production gap has widened each decade.

Exploration will continue to add value by finding advantaged resources to displace higher-cost or otherwise disadvantaged barrels. However, new discoveries alone cannot come close to bridging a gap of this size.

While the industry maintains nearly 2 trillion bbls in undeveloped greenfield resources, barely 10% appears commercially viable under current conditions. Most resources will remain stranded due to challenging economics or technical constraints.

"Security of supply need not depend on unpredictable exploration results or unproven technologies," the analysis concludes. "Existing fields and proven recovery methods can meet the challenge with the right partnerships and investment approaches."

Achieving top-quartile performance industry-wide would boost average recovery factors from 29% to 34%, adding 470 billion bbls of reserves and fundamentally reshaping global energy security prospects.

"Improved recovery factors will be essential to meeting future demand for oil as there are unlikely to be anywhere near enough new fields to offset the natural decline of existing supply," concludes Latham. "Using AI to help understand the potential of existing fields and gauge how much the world will need new fields in future represents a significant advance from traditional field analogue methods based on filtering that produce biased results."

Read the article online at: https://www.oilfieldtechnology.com/drilling-and-production/18092025/every-last-drop-ai-powered-analysis-reveals-oil-industrys-trillion-barrel-opportunity-in-existing-fields/