Method for recovering porosity evolution process of sequence stratigraphy of carbonate rocks
11487045 · 2022-11-01
Assignee
Inventors
- Leilei Yang (Beijing, CN)
- Donghua Chen (Beijing, CN)
- Guo Wei (Beijing, CN)
- Jing Hu (Beijing, CN)
- Weiquan Zhao (Beijing, CN)
- Keyu Liu (Beijing, CN)
- Jianliang Liu (Beijing, CN)
- Wei YANG (Beijing, CN)
- Xianglu Tang (Beijing, CN)
- Jin Lai (Beijing, CN)
Cpc classification
G01N15/088
PHYSICS
International classification
G01V11/00
PHYSICS
G01V1/28
PHYSICS
G01N15/08
PHYSICS
G01V99/00
PHYSICS
Abstract
The present disclosure provides a method for recovering a porosity evolution process of sequence stratigraphy of carbonate rocks. The method comprises: a step of establishing a sequence stratigraphic framework of carbonate rocks; a step of dividing diagenetic stages; a step of simulating diagenesis and porosity evolution with increasing reservoir thickness and continuous superposition of multiple reservoirs during cyclic rise and fall of sea level to obtain a simulation result; and a step of calculating the porosity evolution in space over time by using the simulation result as initial values for simulation of diagenetic evolution process and simulating in stages and continuity the multi-stage diagenetic evolution process that the carbonate rock strata undergo after sediment based on the divided diagenetic stages. Compared with the traditional recovery of single reservoir porosity with time evolution, the method fully considers the superposition effect of multiple upper reservoirs in the process of reservoir sedimentary-diagenesis.
Claims
1. A method for recovering a porosity evolution process of sequence stratigraphy of carbonate rocks, wherein the method comprises: a step of establishing a sequence stratigraphic framework of carbonate rocks, comprising: recovering paleoclimate and paleo-sea level from geological, geochemical and geophysical data and identifying a sequence boundary in conjunction with a regional geological setting to establish the sequence stratigraphic framework of carbonate rocks; wherein, the geochemical and geophysical data comprise core, thin section and logging information; a step of dividing diagenetic stages, comprising: determining a diagenetic sequence by thin section, scanning electron microscopy, fluid inclusion, cathodoluminescence and carbon and oxygen isotope assay analysis, determining the diagenetic evolution process of the reservoir, and determining typical diagenetic events and dividing diagenetic stages based on the degree of influence on the reservoir porosity; a step of simulating diagenesis and porosity evolution with increasing reservoir thickness and continuous superposition of multiple reservoirs during cyclic rise and fall of sea level to obtain a simulation result, comprising simulating, based on a reactive solute transport simulation program, the diagenesis and porosity evolution with increasing reservoir thickness and continuous superposition of multiple reservoirs during cyclic rise and fall of sea level, according to a superposition pattern of carbonate rock sequence in vertical direction; a step of calculating the porosity evolution in space over time by using the simulation result as initial values for simulation of diagenetic evolution process and simulating in stages and continuity the multi-stage diagenetic evolution process that the carbonate rock strata undergo after sediment based on the divided diagenetic stages; and finally obtaining the distribution of porosity on a two-dimensional plane.
2. The method according to claim 1, wherein the method comprises using sequence stratigraphy and sedimentary petrology as a guide to recover the paleoclimate and paleo-sea level from geological, geochemical and geophysical data and identifying the sequence boundary in conjunction with the regional geological setting to establish the sequence stratigraphic framework of carbonate rocks.
3. The method according to claim 1, wherein the simulation program is a numerical software for simulation of diagenetic effects.
4. The method according to claim 1, wherein the simulation program is TOUGHREACT or TOUGHSTONE.
5. The method according to claim 1, wherein the superposition pattern of carbonate rock sequence in vertical direction is to determine the timing of the cyclic rise and fall of the sea level, to determine the sediment thickness of the reservoir for each cycle, and to determine the sediment properties of each sequence, in conjunction with the established sequence stratigraphic framework of carbonate rocks, so as to establish a geological model to simulate the diagenesis and porosity evolution.
6. The method according to claim 5, wherein the stratigraphic physical parameters of the geological model are selected from the groups consisting of rock porosity, rock horizontal permeability, rock vertical permeability, rock compression coefficient, rock density, rock thermal conductivity, and rock particle specific heat.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1)
(2)
(3)
(4)
DETAILED DESCRIPTION
(5) The implementation and the produced beneficial effects of the present disclosure will be described below in details through specific examples, which intends to help the reader better understand the substance and features of the present disclosure, and is not intended to limit the implementable scope of the present disclosure.
Example 1
(6) (1) According to the flow of
(7) As can be seen from
(8) (2) Thin section, scanning electron microscopy, fluid inclusion, cathodoluminescence and carbon and oxygen isotope essay analyses were conducted to analyze the Ordovician carbonate rock in Shunnan area to determine the diagenetic evolution of the reservoir, determine the typical diagenetic events according to the degree of influence on the reservoir porosity, and dividing the diagenetic stages of the reservoir into six successive diagenetic stages, namely sedimentary-penecontemporaneous stage, penecontemporaneous-shallow burial stage, epigenetic stage, shallow burial stage, middle-deep burial stage and deep burial stage.
(9) (3) A geological model with a sea level rise and fall cycle of 2 Myr, a sediment rate of 100 m/Myr, a total simulated thickness of 400 m, and a sediment period of 8 Ma was established based on the information in step (1). Based on the reactive solute transport simulation software TOUGHREACT, the diagenesis and porosity evolution with increasing reservoir thickness and continuous superposition of multiple reservoirs during the cyclic sea level rise and fall were simulated. The stratigraphic physical parameters in the model are shown in Table 1.
(10) TABLE-US-00001 TABLE 1 Parameters Values Porosity % 30, 35 Horizontal permeability mD 40, 120 Vertical permeability e mD 40, 120 Compression coefficient Pa.sup.−1 4.5 × 10.sup.−10 Rock density kg .Math. m.sup.−3 2710 Thermal conductivity W/(m .Math. ° C.) 2.20 Rock particle specific heat J/(kg .Math. ° C.) 852
(11) The cyclic sea level rise and fall process during sediment was divided into four substages of continuous diagenetic evolution. During the sea level rise, the reservoir is mainly located below the sea level and is affected by rapid transgression, and a new set of reservoir is deposited on top of the original sediment; during the sea level fall, the reservoir is exposed above the sea level and the sediment receives the leaching and dissolution of meteoric freshwater. The sediment thickness and diagenetic time for the whole sedimentary diagenetic evolution are shown in Table 2.
(12) TABLE-US-00002 TABLE 2 Summary of sedimentary diagenetic evolution process Diagenetic Sediment Denudation Sediment time/Myr period period thickness/m 1 ✓ 100 2 ✓ 100-200 3 ✓ 200 4 ✓ 200-300 5 ✓ 300 6 ✓ 300-400 7 ✓ 400 8 ✓ 400
(13)
(14) (4) Using the simulation result in step (3) as the initial value for the simulation of diagenetic evolution, the diagenetic evolution of six diagenetic stages, namely sedimentary-penecontemporaneous stage, penecontemporaneous-shallow burial stage, epigenetic stage, shallow burial stage, middle-deep burial stage and deep burial stage, was simulated in stages and continuously, and the porosity evolution in space over time was calculated. The results are shown in
(15)