Source Rock Evaluation of Hydrocarbons in Deep-Water Offshore Areas Based on a BP Neural Network
Due to the lack of drilling data and poor quality of seismic data in deep-water offshore areas, conventional methods cannot effectively predict the total organic carbon (TOC) content. In this paper, the BP neural network method is used to predict the TOC of the strata overlying the target layer, whi...
Saved in:
| Main Authors: | Jizhong Wu, Ying Shi, Qianqian Yang, Yanan Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2023/4803616 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Macrobenthic red algae and their hydrocarbon generation in the Paleogene deep-water source rocks, Qiongdongnan Basin
by: Li Wei
Published: (2025-05-01) -
On peculiarities of composition and properties of ancient hydrocarbon source rocks
by: Mariya A. Bolshakova, et al.
Published: (2024-11-01) -
Research on Vibration Fatigue Damage Locations of Offshore Oil and Gas Pipelines Based on the GA-Improved BP Neural Network
by: Yaoguo Xie, et al.
Published: (2023-01-01) -
Source rock evaluation for hydrocarbon generation in Halal oilfield, southern
by: Mohamed M. El Nady, et al.
Published: (2016-09-01) -
RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM
by: HUANG Pei
Published: (2018-01-01)