CN-119737136-B - Horizontal well guiding abnormality early warning method, device, storage medium and equipment

CN119737136BCN 119737136 BCN119737136 BCN 119737136BCN-119737136-B

Abstract

The invention discloses a horizontal well guiding abnormality early warning method, a horizontal well guiding abnormality early warning device, a storage medium and storage equipment, and belongs to the technical field of oil and natural gas engineering drilling and completion. The method comprises the steps of obtaining three-dimensional position coordinate data, GR data while drilling, data during drilling and lithology logging data of a whole target block, simulating the GR data while drilling according to the GR data while drilling, combining the input data sets, obtaining the predicted depth of a drill bit of the new drilling through an established horizontal segment intelligent guiding judging model, and judging whether the drilling process is abnormal according to the predicted depth and a target stratum. According to the method, the horizontal section well track prediction model in the drilling process is constructed based on the artificial intelligence method, so that the problems that a drilling horizon cannot be found in time, a drill bit is automatically adjusted and the like in the horizontal well drilling process are solved, the horizontal well drilling efficiency and the reservoir drilling meeting rate are improved, the single well yield and the recovery ratio of the oil and gas reservoir are improved, and the site construction cost is reduced.

Inventors

GONG BIN
FANG JUNLING
YANG JINGHUA
LIU CHEN
XU FENGQIANG

Assignees

特雷西能源科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20250103

Claims (7)

1. The horizontal well guiding abnormality early warning method is characterized by comprising the following steps: acquiring three-dimensional position coordinate data, GR data while drilling, data during drilling and lithology logging data of the drilled well in the whole target block as an input data set; simulating according to a plurality of GR data while drilling in a target block to obtain GR data while drilling of a new drilling in the target block, and obtaining the predicted depth of the drill bit of the new drilling through an intelligent guiding judgment model of the established horizontal segment according to the GR data while drilling of the new drilling obtained by simulation and the input data set; judging whether the new drilling well is abnormal in the drilling process according to the obtained predicted depth of the new drilling well bit and the target stratum; Simulating the GR data while drilling according to a plurality of GR data while drilling in the target block to obtain GR data while drilling of new drilling in the target block, wherein the GR data while drilling comprises: taking a plurality of recent drilled wells around the new drilled well in the target block as reference wells; taking the GR data while drilling of the part of the well sections of the reference well as the GR value of the corresponding well section of the new well drilling, and simulating to obtain the GR data while drilling of the new well drilling; The GR data while drilling of the new drilling obtained according to the simulation and the input data set are used for obtaining the predicted depth of the drill bit of the new drilling through the established intelligent guiding judgment model of the horizontal segment, and the method comprises the following steps: according to GR data while drilling of new drilling obtained by simulation, establishing a horizontal segment intelligent guiding judgment model; taking GR data while drilling of the new drilling obtained through simulation and the input data set as input of the intelligent guiding judgment model of the horizontal segment, and outputting probability distribution of specific depth of the drill bit of the new drilling; taking the maximum value in the probability distribution as the predicted depth of the drill bit of the new well drilling; The probability distribution of a specific depth of the newly drilled bit is calculated by the following formula: Wherein, the The probability distribution of specific depth phi is represented by i representing the i-th measurement point of the well, gamma represents GR data while drilling, j represents the j-th point of the depth domain corresponding to the i-th measurement point, f () represents the probability density function, and p represents the prior distribution probability.
2. The horizontal well guidance anomaly pre-warning method of claim 1, wherein the input data set is obtained by: according to the original data collected in the target block on site, finishing to obtain GR while drilling data, drilling time data and lithology logging data of the drilled well in the target block; loading the GR data while drilling, the data during drilling and the lithology logging data obtained by arrangement into three-dimensional geological modeling software to establish a three-dimensional geological model of the target block; And the three-dimensional coordinate data of the geographic position of the well drilling, GR data while drilling, data during drilling, lithology logging data, the established three-dimensional geological model and the three-dimensional coordinate data of the geographic position of the well drilling in the whole target block are derived according to the set precision, so that the input data set is obtained.
3. The horizontal well guiding abnormality pre-warning method according to claim 2, wherein the determining whether the new well is abnormal during the drilling process according to the obtained predicted depth of the drill bit of the new well and the target stratum comprises: Judging whether the predicted depth of the newly drilled drill bit penetrates through the top interface and the bottom interface of the target stratum, if so, penetrating the drill bit, judging that abnormality occurs and alarming; and incorporating the data corresponding to the abnormal point into the original data, and updating the original data.
4. The horizontal well guidance anomaly pre-warning method of claim 3, further comprising: and updating the three-dimensional geological model in real time through the updated original data.
5. The utility model provides a horizontal well direction anomaly early warning device which characterized in that, the device includes: The data acquisition module is used for acquiring three-dimensional position coordinate data, GR data while drilling, data during drilling and lithology logging data of the drilled well in the whole target block as an input data set; The prediction module is used for obtaining GR data of new drilling in the target block by simulation according to the GR data of a plurality of drilling holes in the target block, obtaining the predicted depth of the drill bit of the new drilling holes by the intelligent guiding judgment model of the established horizontal segment according to the GR data of the new drilling holes obtained by simulation and the input data set; the early warning module is used for judging whether the new drilling well is abnormal in the drilling process according to the obtained predicted depth of the drill bit of the new drilling well and the target stratum; The prediction module includes: The reference well prediction unit is used for taking a plurality of latest drilled wells around the new drilled well in the target block as reference wells; The GR simulation unit is used for taking the GR data while drilling of the part of the well sections of the reference well as the GR value of the corresponding well section of the new well, and simulating to obtain the GR data while drilling of the new well; the model building unit is used for building a horizontal segment intelligent guiding judgment model according to GR data while drilling of the new drilling obtained through simulation; The probability distribution prediction unit is used for taking the GR data while drilling of the new drilling obtained through simulation and the input data set as the input of the horizontal segment intelligent guiding judgment model and outputting probability distribution of specific depth of the drill bit of the new drilling; a predicted depth determining unit for taking the maximum value in the probability distribution as the predicted depth of the drill bit of the new well drilling; The probability distribution of a specific depth of the newly drilled bit is calculated by the following formula: Wherein, the The probability distribution of specific depth phi is represented by i representing the i-th measurement point of the well, gamma represents GR data while drilling, j represents the j-th point of the depth domain corresponding to the i-th measurement point, f () represents the probability density function, and p represents the prior distribution probability.
6. A computer readable storage medium for horizontal well guidance anomaly pre-warning, comprising a memory for storing processor executable instructions that when executed by the processor perform the steps comprising the horizontal well guidance anomaly pre-warning method of any one of claims 1-4.
7. An apparatus for horizontal well guidance anomaly pre-warning, comprising at least one processor and a memory storing computer executable instructions that when executed by the processor implement the steps of the horizontal well guidance anomaly pre-warning method of any one of claims 1-4.

Description

Horizontal well guiding abnormality early warning method, device, storage medium and equipment Technical Field The invention relates to the technical field of oil and natural gas engineering drilling and completion, in particular to a horizontal well guiding abnormality early warning method, a device, a storage medium and equipment. Background In the field of petroleum and natural gas drilling and exploitation, horizontal well drilling and exploitation gradually become mainstream along with the acceleration of unconventional oil and gas exploration steps. Horizontal sections of horizontal wells are prone to problems with perforating during drilling, and thus, it is desirable to conduct directional predictions of the horizontal well by geosteering techniques. The traditional geosteering technology collects underground drilling and geological parameter information through a measurement while drilling tool, analyzes the contact relation between a drilling track and a stratum, grasps the spatial distribution condition of a well track and a reservoir, processes and analyzes the received information by geosteering software in a ground system, guides the next drilling, realizes accurate landing of a horizontal well and improves the drilling meeting rate of the reservoir. However, the traditional geosteering technology needs to manually judge and issue a command drilling state, so that the drilling efficiency and the reservoir drilling meeting rate are not high, and the yield and the recovery ratio of a single well of a complex oil and gas reservoir are difficult to improve. Disclosure of Invention In order to solve the defects of the prior art, the invention provides the horizontal well guiding abnormality early warning method, the device, the storage medium and the equipment, solves the problems that a drilling horizon cannot be found in time, a drill bit is automatically adjusted and the like in the horizontal well drilling process, improves the drilling efficiency and the reservoir drilling meeting rate of the coal bed methane horizontal well, improves the single well yield and the recovery ratio of a complex oil and gas reservoir, and reduces the site construction cost. The technical scheme provided by the invention is as follows: In a first aspect, the present invention provides a method for early warning of abnormal guiding in a horizontal well, the method comprising: acquiring three-dimensional position coordinate data, GR data while drilling, data during drilling and lithology logging data of the drilled well in the whole target block as an input data set; simulating according to a plurality of GR data while drilling in a target block to obtain GR data while drilling of a new drilling in the target block, and obtaining the predicted depth of the drill bit of the new drilling through an intelligent guiding judgment model of the established horizontal segment according to the GR data while drilling of the new drilling obtained by simulation and the input data set; and judging whether the new drilling well is abnormal in the drilling process according to the obtained predicted depth of the new drilling well bit and the target stratum. Further, the input data set is obtained by the following method: according to the original data collected in the target block on site, finishing to obtain GR while drilling data, drilling time data and lithology logging data of the drilled well in the target block; loading the GR data while drilling, the data during drilling and the lithology logging data obtained by arrangement into three-dimensional geological modeling software to establish a three-dimensional geological model of the target block; And the three-dimensional coordinate data of the geographic position of the well drilling, GR data while drilling, data during drilling, lithology logging data, the established three-dimensional geological model and the three-dimensional coordinate data of the geographic position of the well drilling in the whole target block are derived according to the set precision, so that the input data set is obtained. Further, the step of obtaining the GR data while drilling of the new well drilling in the target block according to the simulation of the GR data while drilling of the plurality of well drilling in the target block comprises the following steps: taking a plurality of recent drilled wells around the new drilled well in the target block as reference wells; And taking the GR data while drilling of the part of the well sections of the reference well as the GR value of the corresponding well section of the new well drilling, and obtaining the GR data while drilling of the new well drilling through simulation. Further, the GR data while drilling of the new well obtained by simulation and the input data set are used for obtaining the predicted depth of the drill bit of the new well through the established horizontal segment intelligent guiding judgment model, and the method comprises th