Igneous rock well logging multi-factor interpretion method
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
An igneous rock, multi-factor technology, applied in the field of logging interpretation, which can solve problems such as the difficulty of logging interpretation
Inactive Publication Date: 2016-11-16
CNPC XIBU DRILLING ENG
View PDF2 Cites 10 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0003] The present invention provides a multi-factor interpretation method for igneous rock mud logging, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the difficulty in mud logging interpretation caused by dual storage spaces of matrix pores and fractures and caves in igneous rock reservoirs in the prior art The problem
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
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0025] Embodiment 1: as attached figure 1 As shown, a multi-factor interpretation method for igneous rock logging, including the following steps:
[0026] Step 1: Establish an igneous rock logging interpretation database, collect and organize gas logging related parameters, oil testing related parameters, and rock pyrolysis related parameters through integrated mud logging equipment and manual acquisition, and optimize and classify the parameters to form mud logging interpret the database;
[0027] Step 2: Extract gas logging sensitive parameters and rock pyrolysis sensitive parameters, and derive gas logging sensitive parameters and rock pyrolysis sensitive parameters related to the evaluation of oil and gas properties of igneous rock reservoirs from the mud logging interpretation database;
[0028] Step 3: According to the regional geological characteristics, reservoir types, gas logging sensitive parameters and rock pyrolysis sensitive parameters, select interpretation and...
Embodiment 2
[0040] Embodiment 2: as attached image 3 , attached Figure 4 , attached Figure 5 , table 1, table 2, shown in table 3, this igneous rock logging multi-factor interpretation method comprises the following steps:
[0041] Step 1: Establish the gas logging oiliness index (Qzs) model of igneous rock reservoirs, the calculation formula is:
[0042] Qzs=Uh×C3 / C4×Ln(2-1 / Fjb)×eK
[0043] In the formula, Qzs: gas oiliness index; Fjb: ratio of total hydrocarbon peak value to base value in the abnormal display section of gas measurement; Uh: hydrocarbon phase coefficient; Nc: hydrocarbon peak coefficient; K: after fitting by gas measurement component index Obtained, reflecting the decline rate of hydrocarbon components; b: obtained by gas-tested component index fitting, positively correlated with gas-tested total hydrocarbon content, reflecting oil (gas) abundance, e: a constant, the value is about 2.71828;
[0044] Step 2: Use the chromatograph that comes with the comprehensive m...
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
Login to view more
Abstract
The invention relates to the technical field of well logging interpretation and relates to an igneous rock well logging multi-factor interpretion method. The method comprises the steps of (1) establish an igneous rock well logging interpretation database, (2) extracting a gas logging sensitive parameter and a rock pyrolysis sensitive parameter, (3) establishing an igneous rock gas logging oiliness index model, (4) establishing a rock pyrolysis parameter combination model, and (5) intersecting the gas logging oiliness index model and the rock pyrolysis parameter combination model to establish a well logging multi-factor interpretion plate. The invention is the well logging multi-factor interpretion method on the basis of gas logging and rock pyrolysis data, through extracting the gas logging sensitive parameter and the rock pyrolysis sensitive parameter, by using multiple gas logging well logging parameter fusion, a new parameter-gas logging oiliness index reflecting reservoir oil gas containing abundance is established, the gas logging oiliness index model and the rock pyrolysis parameter combination model are established, the application effect of the method in the aspect of igneous rock reservoir fluid property identification is good, and the well logging interpretation coincidence of an igneous rock reservoir is improved.
Description
technical field [0001] The invention relates to the technical field of mud logging interpretation, and relates to a multi-factor interpretation method for mud logging of igneous rocks. Background technique [0002] Existing traditional gas logging interpretation methods for igneous rock reservoirs include triangle method, Pixler method, light hydrocarbon ratio method, normalization method, double logarithmic method, and gas evaluation method, all of which are based on the ratio of gas logging components. It is no longer suitable for the identification of fluid properties in igneous rock reservoirs. Special mud logging includes rock pyrolysis interpretation method, pyrolysis gas chromatography interpretation method, light hydrocarbon interpretation method and nuclear magnetic resonance interpretation method, etc. Each method is an interpretation chart established by using its own parameter combination. The characteristics of igneous rock reservoirs are obviously different fr...
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
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more