A Productivity Prediction Method for Electric Heating In-situ Mining Thin Oil Shale

A technology for in-situ mining and production capacity prediction, applied in the direction of production fluid, earthwork drilling, wellbore/well components, etc., can solve the problems of different production capacity of oil shale and unmeasured oil output of oil shale, so as to reduce errors Effect

Active Publication Date: 2021-05-04
贵阳鑫睿材料科技有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the different positions and degrees of heating in the heating process, the production capacity of oil shale is different, and the oil output of oil shale cannot be measured due to the inability to arrange sensors at any point in the thin oil shale reservoir. An electric heating in-situ Productivity Prediction Method for Thin Oil Shale Exploitation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Productivity Prediction Method for Electric Heating In-situ Mining Thin Oil Shale
  • A Productivity Prediction Method for Electric Heating In-situ Mining Thin Oil Shale
  • A Productivity Prediction Method for Electric Heating In-situ Mining Thin Oil Shale

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] Referring to each figure, a method for predicting the production capacity of thin-bed oil shale in situ by electric heating, the prediction method includes the following steps:

[0106] Step 1: In a horizontal well for in-situ mining of thin-bed oil shale, select n measurement points equidistant along the well direction, and then take m pieces of oil shale at each measurement point, measure its density, and obtain the effective bulk density ;

[0107] The selected n oil shale measurement points are represented by set B as:

[0108] B={b 1 , b 2 , b 3 ,...,b i ,... b n}

[0109] In the formula, b i is the i-th oil shale measurement point, i is the serial number of the oil shale sample, i=1,2,3,...,n;

[0110] the b i m pieces of oil shale rock set selected by measuring points, use p i Expressed as:

[0111] p i ={b i1 , b i2 , b i3 ,...,b iz ,...,b im}

[0112] In the formula, b iz for b i The zth piece of oil shale rock at the measurement point, z=1,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of energy development, and in particular relates to a method for predicting the production capacity of thin-layer oil shale in-situ mining by electric heating. 1. In a horizontal well for in-situ mining of thin-bed oil shale, select n measuring points at equal distances along the well direction, and take m pieces of oil shale at each measuring point, measure its density, and obtain an effective equivalent density ; 2. According to the oil content calculation formula, measure the oil content of the exploited thin layer oil shale samples, and calculate the average value; 3. According to the heat transfer law in the oil shale, establish the heat diffusion model in the oil shale. The initial conditions and boundary conditions of shale, etc., solve the temperature field distribution of oil shale; 4. According to the cracking conditions of oil shale, establish a mathematical model of the cracking percentage of oil shale with temperature; 5. Establish a thin layer of oil shale Thin-bed oil shale productivity prediction model based on factors such as density, oil content and temperature field distribution. Pre-estimating the production capacity of thin oil shale formations to provide support for maximum economic benefits.

Description

Technical field: [0001] The invention belongs to the technical field of energy development, and in particular relates to a method for predicting the production capacity of thin-layer oil shale in-situ mining by electric heating. Background technique: [0002] Oil shale is an unconventional oil and gas resource, and its development can greatly alleviate the shortage of oil and gas energy in my country. my country's proven oil shale reserves rank second in the world. At present, surface distillation technology is mainly used in the development and utilization of oil shale, but surface distillation technology has problems such as low utilization rate and environmental pollution. The in-situ mining technology can avoid these problems, so the in-situ mining technology of oil shale has attracted more and more people's attention. In view of my country's special geographical characteristics and oil shale formation conditions, the ultra-thin oil shale layer with a burial depth of le...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): E21B49/00E21B43/24
CPCE21B43/2401E21B49/00
Inventor 韩连福李学鑫付长凤黄赛鹏刘兴斌刘超牟海维
Owner 贵阳鑫睿材料科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products