Interpretation.AI - Fault Interpretation Capabilities Added
Interpretation.AI - Fault Interpretation Capabilities Added
TALLAHASSEE, Fla., Dec. 30, 2024 /PRNewswire/ -- Cognitive GeoInterpretation, Inc. ("CGI") is pleased to announce upgraded functionality related to its Interpretation.AI software ("IAI").
塔拉哈西,佛羅里達州,2024年12月30日 /PRNewswire/ -- 認知地質解讀公司("CGI")很高興地宣佈其財報解讀人工智能("IAI")軟體的功能升級。
IAI enhances the efficiency & productivity of exploration workflows by harnessing the latest advancements in Artificial Intelligence. This browser-based AI platform enables rapid seismic and well log visualization and interpretation, empowering geoscientists to complete their interpretive workflows in a fraction of the time traditionally required. By leveraging the expertise of geoscientists to define project goals and data interpretation methods, IAI quickly learns from samples and generates interpretations of entire datasets. This iterative process delivers final interpretations in hours or days, significantly reducing the timeline compared to conventional methods that take weeks or months.
IAI通過利用最新的人工智能進展,提高了勘探工作流程的效率和生產力。該基於瀏覽器的人工智能平台實現了快速的地震和測井可視化及解讀,使地球科學家能夠在傳統所需時間的一小部分內完成其解讀工作流程。IAI通過利用地球科學家定義項目目標和數據解讀方法的專業知識,快速從樣本中學習並生成整個數據集的解讀。這一迭代過程在幾小時或幾天內提供最終解釋,顯著縮短了與傳統方法(通常需要幾周或幾個月)相比的時間。
Earlier versions of IAI utilized seismic and well log data to identify subsurface facies and horizons. The new version adds the ability to identify and interpret faults within the seismic volume. Subsurface faults are fractures or zones of fractures between rocks in the earth. They are often conduits for hydrocarbon migration. Depending on the types of rocks involved, they can also sometimes serve as trapping mechanisms for hydrocarbons and thus are an important component of subsurface interpretation. IAI utilizes a pre-trained model to quickly create the initial fault interpretation. The interpretation can then be fine-tuned using active learning methods based on the geoscientist's own work.
IAI的早期版本利用地震和測井數據識別地下地層和地平線。新版本增加了識別和解讀地震體內斷層的能力。地下斷層是地球岩石之間的斷裂或斷裂帶,通常是碳氫化合物遷移的通道。根據參與的岩石類型,它們有時也可以作爲碳氫化合物的陷阱機制,因此是地下解讀的重要組成部分。IAI利用預訓練模型快速生成初始斷層解讀。然後,可以使用基於地球科學家自身工作的主動學習方法對解讀進行微調。
In future versions, CGI plans to develop additional modules that utilize AI methods to create sub-volumes to aid in the identification of rare seismic facies and to introduce multivolume transfer learning capabilities into the platform.
在未來的版本中,CGI計劃開發額外的模塊,利用人工智能方法來創建子體積,以幫助識別稀有的地震地層,並在平台中引入多卷轉移學習能力。
Dr. Piyush Kumar, founder of CGI, said "We are excited to add fault interpretation capabilities to IAI. Identifying faults is an important step in our quest to build an AI toolkit for subsurface mapping."
CGI的創始人Piyush Kumar博士表示:"我們很高興將斷層解讀能力添加到IAI中。識別斷層是我們構建用於地下繪圖的人工智能工具包的重要一步。"
About CGI
關於CGI
CGI is a Tallahassee based startup that solves seismic imaging problems using recently emerging AI techniques at the intersection of compression, visualization of large datasets on the web, deep neural networks, and a computational engine that leverages both the cloud and the browser.
CGI是一家位於塔拉哈西的初創公司,使用新興的人工智能技術解決地震成像問題,這些技術結合了壓縮、網絡上大型數據集的可視化、深度神經網絡以及一個利用雲端和瀏覽器的計算引擎。
For More Information, visit our website at interpretation.ai or contact CEO John Adamick at [email protected].
有關更多信息,請訪問我們的網站 interpretation.ai 或聯繫首席執行官約翰·阿達米奇,郵箱:[email protected]。
SOURCE Cognitive GeoInterpretation
來源:Cognitive GeoInterpretation