Process information
| Key Data Set Information | |
| Location | GD-CN |
| Geographical representativeness description | Zhusan Depression in Pearl River Mouth Basin |
| Reference year | 2003 |
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| Use advice for data set | When using the data from this industrial process, researchers and engineers should ensure that the gas logging derivative parameters and conventional logging response equations are appropriately selected for sensitivity to the critical fluids of interest. Accurate initial assumptions for the formation components are necessary for reliable inversion results. The calculated gas-oil ratio must be based on equations that properly account for variations in pressure, temperature, and composition of hydrocarbons under both formation and surface conditions. This methodology is advised to be incorporated into decision-making workflows for exploration and development, as it has been validated to have an accuracy rate of 94%. Consideration should also be given to the expedited application of this method to practical production to improve interpretation coincidence rate and efficiency. Users should address potential overfitting of the overdetermined equation system and computational efficiency in the optimization process. |
| Technical purpose of product or process | The technical usage of the described industrial process is to facilitate the identification of fluid properties in petroleum exploration within the Zhusan Depression in the Pearl River Mouth Basin. By employing a combination of gas logging derivative parameters, conventional logging response equations, and gas state equations, this process enables the accurate calculation of the gas-oil ratio, which is a critical indicator for classifying hydrocarbon resources like condensate gas and volatile oil. It is primarily used in the interpretation of formation components to improve the accuracy of exploration and development decisions in the oil and gas industry. |
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| General comment on data set | In this paper, four gas logging derivative parameters which are sensitive to critical fluids such as condensate gas and volatile oil are selected, and the optimal logging interpretation objective function is constructed together with conventional logging response equation. The formation components are inversed together, and then the key parameters of gas-oil ratio are calculated by gas state equation, so as to achieve the purpose of quantitatively identifying fluid properties by comprehensive logging data |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) | |
| Time representativeness | |
| Time representativeness description | Literature review mentioned that |
| Technological representativeness | |
| Technology description including background system | The accuracy of identifying fluid properties by calculating quantitative parameters of gas-oil ratio is as high as 94%, which greatly improves the accuracy of identifying fluid properties in the study area and provides an effective basis for subsequent exploration and development decisions |
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| Mathematical model | |
| Model description | Firstly, according to the gas equation of state of natural gas, the equation of state of natural gas under ground conditions is obtained The gas equation of state under formation conditions can also be obtained. Gas-oil ratio is defined as the ratio of natural gas volume Vgm to oil volume Vom under surface conditions |
Modelling and validation
Administrative information
Inputs and Outputs