Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches

Enables readers to save time and effort in exploring and exploiting shale gas and other unconventional fossil fuels by making use of advanced predictive tools.

Unconventional Hydrocarbon Resources highlights novel concepts and techniques for the geophysical exploration of shale and other tight hydrocarbon reservoirs, focusing on artificial intelligence approaches for modeling and predicting key reservoir properties such as pore pressure, water saturation, and wellbore stability. Numerous application examples and case studies present real-life data from different unconventional hydrocarbon fields such as the Barnett Shale (USA), the Williston Basin (USA), and the Ahnet and Berkine Basins (Algeria).

Unconventional Hydrocarbon Resources explores a wide range of reservoir properties, including modeling of the geomechanics of shale gas reservoirs, petrophysics analysis of shale and tight sand gas reservoirs, and prediction of hydraulic fracturing effects, fluid flow, and permeability.

Sample topics covered in Unconventional Hydrocarbon Resources include:

• Calculation of petrophysical parameter curves for non-conventional reservoir modeling and characterization
• Comparison of the Levenberg-Marquardt and conjugate gradient learning methods for total organic carbon prediction in the Barnett shale gas reservoir
• Use of pore effective compressibility for quantitative evaluation of low resistive pays and identifying sweet spots in shale reservoirs
• Pre-drill pore pressure estimation in shale gas reservoirs using seismic genetic inversion
• Using well-log data to classify lithofacies of a shale gas reservoir

Unconventional Hydrocarbon Resources is a valuable resource for researchers and professionals working on unconventional hydrocarbon exploration and in geoengineering projects.

《非傳統碳氫化合物資源》這本書提供了先進的預測工具，讓讀者在探索和開發頁岩氣和其他非傳統化石燃料時節省時間和精力。本書重點介紹了用於地球物理探測頁岩和其他致密碳氫化合物儲層的新概念和技術，專注於利用人工智能方法對關鍵儲層性質（如孔隙壓力、水飽和度和井筒穩定性）進行建模和預測。書中還提供了來自不同非傳統碳氫化合物領域（如巴尼特頁岩（美國）、威利斯頓盆地（美國）以及阿爾及利亞的阿赫內特和伯基納盆地）的實際數據的應用示例和案例研究。

《非傳統碳氫化合物資源》探討了各種儲層性質，包括頁岩氣儲層的地質力學建模、頁岩和致密砂岩氣儲層的岩石物理分析，以及水力壓裂效應、流體流動和滲透性的預測。

《非傳統碳氫化合物資源》中涵蓋的樣本主題包括：
- 計算非傳統儲層建模和表徵的岩石物理參數曲線
- 比較Levenberg-Marquardt和共軛梯度學習方法在巴尼特頁岩氣儲層中對總有機碳的預測
- 利用孔隙有效壓縮性定量評估低電阻層和識別頁岩儲層的甜點區
- 利用地震遺傳反演在頁岩氣儲層中預估鑽井前的孔隙壓力
- 利用井測資料對頁岩氣儲層進行岩相分類

《非傳統碳氫化合物資源》對於從事非傳統碳氫化合物探勘和地質工程項目的研究人員和專業人士來說是一個寶貴的資源。

Sid-Ali Ouadfeul, Professor, Department of Geophysics, Geology and Reservoir Engineering, Algerian Petroleum Institute-IAP Corporate University, Algeria.

Sid-Ali Ouadfeul，阿爾及利亞石油學院（IAP Corporate University）地球物理、地質和儲油工程系教授。