據(jù)油氣新聞5月18日消息稱，傳統(tǒng)上，油氣行業(yè)在互聯(lián)技術(shù)的應(yīng)用上一直比較落后，但如今，該行業(yè)越來越多地采用數(shù)字孿生技術(shù)來改善決策。GlobalData表示，由于COVID-19造成的行業(yè)普遍低迷，因此越來越需要降低成本，并借助技術(shù)使運(yùn)營更具可持續(xù)性。
全球范圍的封鎖嚴(yán)重影響了全球能源需求，同時(shí)也因供應(yīng)鏈中斷導(dǎo)致項(xiàng)目延誤。經(jīng)濟(jì)低迷加劇了改善整體資產(chǎn)可見度的需要，以確定降低成本的領(lǐng)域。數(shù)字孿生是實(shí)現(xiàn)這一目標(biāo)并確保長期可持續(xù)運(yùn)營的關(guān)鍵。
根據(jù)GlobalData的最新報(bào)告“石油和天然氣中的數(shù)字孿生”， 這項(xiàng)技術(shù)的基礎(chǔ)工作可能已經(jīng)有一段時(shí)間了，但只有當(dāng)盈利能力面臨風(fēng)險(xiǎn)時(shí)，才會(huì)真正投入使用。順便提一下，2014年油價(jià)崩盤后，油氣行業(yè)一些重要的數(shù)字孿生項(xiàng)目才開始實(shí)施。2017年前后，BP開始大規(guī)模部署其APEX模擬和監(jiān)測(cè)系統(tǒng)。
GlobalData的石油和天然氣分析師Ravindra Puranik評(píng)論道:“公司已經(jīng)開始建立模型，為‘如果發(fā)生什么’或‘將會(huì)發(fā)生什么’的問題提供答案。通過在虛擬世界中復(fù)制資產(chǎn)或資產(chǎn)的一部分，企業(yè)可以對(duì)現(xiàn)實(shí)世界中的問題進(jìn)行模擬測(cè)試，并將結(jié)果以3D形式顯示出來。這有助于項(xiàng)目工程師提高他們對(duì)資產(chǎn)的理解，從而使他們能夠根據(jù)市場需求優(yōu)化其性能。因此，數(shù)字孿生正逐漸成為油氣業(yè)務(wù)不可或缺的一部分。”
與物聯(lián)網(wǎng)(IoT)技術(shù)一樣，缺乏標(biāo)準(zhǔn)化也在某種程度上阻礙了“數(shù)字孿生”的采用。為了克服這一限制，DNV GL與TechnipFMC合作，于2020年11月起草了一份創(chuàng)建和認(rèn)證數(shù)字孿生的最佳實(shí)踐指南。它為開發(fā)人員和用戶提供了一個(gè)框架來理解數(shù)字雙胞胎，并最大限度地利用它們的功能。
Ravindra補(bǔ)充說：“諸如Equinor的Johan Sverdrup或BP的Clair Ridge等較新的石油和天然氣項(xiàng)目正在成為采用數(shù)字孿生的基準(zhǔn)。殼牌、雪佛龍和巴西國家石油公司等公司正在啟動(dòng)在其全球投資組合中部署數(shù)字孿生的計(jì)劃。在油田技術(shù)和服務(wù)公司的大力支持下，數(shù)字孿生很可能在未來幾年成為油氣業(yè)務(wù)的支柱。”
曹海斌 摘譯自 油氣新聞
原文如下：
Digital twins to become mainstay for oil and gas
The oil and gas industry, which is traditionally a laggard in the adoption of connected technologies, is increasingly deploying digital twins to improve decision-making. The prevailing industry downturn from COVID-19 has heightened the need to reduce costs and make operations more sustainable with technology, according to GlobalData.
Worldwide lockdowns have significantly impacted global energy demand, while also causing project delays due to supply chain disruptions. The downturn has aggravated the need for improving the overall asset visibility to identify areas for cost reduction. Digital twins are key to achieving this objective and ensuring sustainable operations in the long run.
According to GlobalData’s latest report, ‘Digital Twins in Oil & Gas’, the groundwork for this technology may have been in place for some time, but its actual deployment was seen only when profitability was at risk. Incidentally, some of the major digital twins in the oil and gas industry were implemented only after the oil price crash of 2014. BP began wide-scale deployment of its APEX simulation and surveillance system around 2017.
Ravindra Puranik, Oil & Gas Analyst at GlobalData, commented: “Companies have started to build models that will provide answers to ‘what if’ or ‘what will’ questions. By replicating an asset or a portion of it in the virtual world, companies can run simulation tests on real-world problems and visualise the results in 3D. This is helping project engineers to improve their understanding of the asset, thereby enabling them to optimise its performance as per the market requirements. Thus, digital twins are gradually becoming integral to oil and gas operations.”
Like Internet of Things (IoT) technologies, the lack of standardisation has somewhat hampered the adoption of digital twins as well. To overcome this limitation, DNV GL, in collaboration with TechnipFMC, drafted a best practices guide for the creation and certification of digital twins in November 2020. It provides a framework for developers and users alike to understand the digital twins and extract the most out of their capabilities.
Ravindra adds: “Newer oil and gas projects, such as Equinor’s Johan Sverdrup, or BP’s Clair Ridge, are emerging as benchmarks in digital twin adoption. Companies such as Shell, Chevron, and Petrobras are launching initiatives to deploy digital twins across their global portfolio. With crucial support from oilfield technology and service companies, digital twins are likely to become mainstay for oil and gas operations in the coming years.”
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