| Autor: |
Zhang, Qian, Mi, Shiyun, Wen, Zhixin, Wang, Zhaoming |
| Zdroj: |
Modeling Earth Systems and Environment; August 2024, Vol. 10 Issue: 4 p5173-5188, 16p |
| Abstrakt: |
Sweet-spots mapping (SM) mainly focused on searching prospective areas that have the highest potential. However, the accuracy of SM is typically subject to the predicting ability of extracting information from the observations. The spatial correlation structure of unconventional resources is different depending on the distance of two wells in practical applications. As a means of overcoming this problem, this study utilizes a spatial model to extracting information from spatial data. Specifically, Fiducial Empirical Distribution (FED) was first employed to model the marginal distribution of unconventional resource data. Vine copula was then employed to produce sweet-spots maps by integrating the 5 nearest well’s data. A spatial mean-median model was proposed for sweet-spots mapping to support future unconventional resource exploration in the high-potential areas. A case study on mapping sweet spots for unconventional resources was conducted in the Barnett Shale production area. The comparative study shows that, compared to a conventional lognormal kriged model, the new method can express the whole and the local spatial correlation between the sweet-spots in a more effective manner, and sweet-spot mapping more accurately. |
| Databáze: |
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