cognite-wells-sdk 0.6.0b7

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Installation with pip

pip install cognite-wells-sdk

Usage

Authenticating and creating a client

With environment variables

NOTE: must be valid for both cdf and geospatial API

export COGNITE_PROJECT=<project-tenant>
export COGNITE_API_KEY=<your-api-key>

You can then initialize the client with

from cognite.well_model import CogniteWellsClient
wells_client = CogniteWellsClient()

Without environment variables

Alternatively, the client can be initialized like this:

import os
from cognite.well_model import CogniteWellsClient
api_key = os.environ["COGNITE_API_KEY"]
wells_client = CogniteWellsClient(project="your-project", api_key=api_key)

Well queries

Get well by id

well = wells_client.wells.get_by_id(8456650753594878)

List wells

wells = wells_client.wells.list()

Filter wells by wkt polygon

from cognite.well_model.models import PolygonFilter

polygon = 'POLYGON ((0.0 0.0, 0.0 80.0, 80.0 80.0, 80.0 0.0, 0.0 0.0))'
wells = wells_client.wells.filter(polygon=PolygonFilter(geometry=polygon, crs="epsg:4326"))

Filter wells by wkt polygon, name/description and specify desired outputCrs

polygon = 'POLYGON ((0.0 0.0, 0.0 80.0, 80.0 80.0, 80.0 0.0, 0.0 0.0))'
wells = wells_client.wells.filter(
    polygon=PolygonFilter(geometry=polygon, crs="epsg:4326", geometry_type="WKT"),
    string_matching="16/",
    output_crs="EPSG:23031"
)

Get wells that have a trajectory

from cognite.well_model.models import TrajectoryFilter

wells = wells_client.wells.filter(has_trajectory=TrajectoryFilter(), limit=None)

Get wells that have a trajectory with data between certain depths

wells = wells_client.wells.filter(has_trajectory=TrajectoryFilter(min_depth=1400.0, max_depth=1500.0), limit=None)

Get wells that has the right set of measurement types

from cognite.well_model.models import MeasurementFilter, MeasurementFilters, MeasurementType

gammarayFilter = MeasurementFilter(measurement_type=MeasurementType.gamma_ray)
densityFilter = MeasurementFilter(measurement_type=MeasurementType.density)

# Get wells with all measurements
measurements_filter = MeasurementFilters(contains_all=[gammarayFilter, densityFilter])
wells = wells_client.wells.filter(has_measurements=measurements_filter, limit=None)

# Or get wells with any of the measurements
measurements_filter = MeasurementFilters(contains_any=[gammarayFilter, densityFilter])
wells = wells_client.wells.filter(has_measurements=measurements_filter, limit=None)

Get wells that has right set of npt event criterias

npt = WellNPTFilter(
    duration=DoubleRange(min=1.0, max=30.0),
    measuredDepth=LengthRange(min=1800.0, max=3000.0, unit=DistanceUnitEnum.meter),
    nptCodes=ContainsAllOrAny(containsAll=["FJSB", "GSLB"]),
    nptCodeDetails=ContainsAllOrAny(containsAll=["SLSN", "OLSF"]),
)

well_items = client.wells.filter(npt=npt)

Get wellbores for a well id

wellbores = wells_client.wellbores.get_from_well(well.id)

or

well = wells_client.wells.get_by_id(519497487848)
wellbores = well.wellbores()

Get wellbores from multiple well ids

wellbores = wells_client.wellbores.get_from_wells([17257290836510, 8990585729991697])

Filter - list all labels

blocks = wells_client.wells.blocks()
fields = wells_client.wells.fields()
operators = wells_client.wells.operators()
quadrants = wells_client.wells.quadrants()
sources = wells_client.wells.sources()
measurementTypes = wells_client.wells.measurements()

Wellbore queries

Get wellbore by id

wellbore = wells_client.wellbores.get_by_id(2360682364100853)

Get wellbore measurement for measurementType: 'GammaRay'

measurements = wells_client.wellbores.get_measurement(wellbore_id=2360682364100853, measurement_type=MeasurementType.gamma_ray)

Get trajectory for a wellbore

wellbore = wells_client.wellbores.get_by_id(2360682364100853)
trajectory = wellbore.trajectory()

Or get it directly from a wellbore id

trajectory = wells_client.surveys.get_trajectory(2360682364100853)

Get trajectories from multiple wellbores

trajectory = wells_client.surveys.get_trajectories([2360682364100853, 8913278137813647812])

Survey queries

Get data from a survey, from start and end rows

trajectory_data = wells_client.surveys.get_data(17257290836510, start=0, end=100000, columns=["MD", "AZIMUTH"])

Get all data from a survey object

trajectory = wells_client.surveys.get_trajectory(2360682364100853)
trajectory_data = trajectory.data()

Event queries

Filter NPT events

from cognite.well_model.models import LengthRange, DoubleRange
npt_events = wells_client.events.list_npt_events(
    md=LengthRange(min=-0.0, max=30000.0, unit="foot"),
    duration=DoubleRange(min=10.0, max=100.0), # in hours
    npt_codes=["GJS"], # match on any
    npt_code_details=["FKOS"] # match on any
)

Ingestion

Initialise tenant

Before ingesting any wells, the tenant must be initialized to add in the standard assets and labels used in the WDL.

from cognite.well_model import CogniteWellsClient

wells_client = CogniteWellsClient()
log_output = wells_client.ingestion.ingestion_init()
print(log_output)  # If something is wrong with authorization, you should see that in the logs

Add source

Before ingestion from a source can take place, the source must be registered in WDL.

import os
from cognite.well_model import CogniteWellsClient

wells_client = CogniteWellsClient()
created_sources = wells_client.sources.ingest_sources(["Source1, Source2"])

Ingest wells

import os
from datetime import date

from cognite.well_model import CogniteWellsClient
from cognite.well_model.models import DoubleWithUnit, WellDatum, Wellhead, WellIngestion

wells_client = CogniteWellsClient()
source_asset_id = 102948135620745 # Id of the well source asset in cdf

well_to_create = WellIngestion(
    asset_id=source_asset_id,
    well_name="well-name",
    description="Optional description for the well",
    country="Norway",
    quadrant="25",
    block="25/5",
    field="Example",
    operator="Operator1",
    spud_date=date(2021, 3, 17),
    water_depth=0.0,
    water_depth_unit="meters",
    wellhead=Wellhead(
        x = 21.0,
        y = 42.0,
        crs = "EPSG:4236" # Must be a EPSG code
    ),
    datum=WellDatum(
        elevation = DoubleWithUnit(value=1.0, unit="meters"),
        reference = "well-datum-reference",
        name = "well-datum-name"
    ),
    source="Source System Name"
)

wells_client.ingestion.ingest_wells([well_to_create]) # Can add multiple WellIngestion objects at once

Ingest wellbores with optional well and/or trajectory

import os

from cognite.well_model import CogniteWellsClient
from cognite.well_model.models import (
    DoubleArrayWithUnit,
    TrajectoryIngestion,    
    WellIngestion,
    WellboreIngestion,
    ParentType,
    MeasurementIngestion,
    MeasurementField,
    MeasurementType
)

wells_client = CogniteWellsClient()
source_asset_id = 102948135620745 # Id of the wellbore source asset in cdf
source_trajectory_ext_id = "some sequence ext id" # Id of the source sequence in cdf

well_to_create = WellIngestion(...)
trajectory_to_create = TrajectoryIngestion(
    source_sequence_ext_id=source_trajectory_ext_id,
    measured_depths = DoubleArrayWithUnit(values=[0.0, 1.0, 2.0], unit="meters"),
    inclinations = DoubleArrayWithUnit(values=[10.0, 1.0, 22.0], unit="degrees"),
    azimuths = DoubleArrayWithUnit(values=[80.0, 81.0, 82.0], unit="degrees")
)
measurements_to_create = [
    MeasurementIngestion(
        sequence_external_id="measurement_sequence_1",
        measurement_fields=[
            MeasurementField(type_name=MeasurementType.gamma_ray),
            MeasurementField(type_name=MeasurementType.density),
        ],
    ),
    MeasurementIngestion(
        sequence_external_id="measurement_sequence_2",
        measurement_fields=[
            MeasurementField(type_name=MeasurementType.geomechanics),
            MeasurementField(type_name=MeasurementType.lot),
        ],
    )   
]

wellbore_to_create = WellboreIngestion(
    asset_id = source_asset_id,
    wellbore_name = "wellbore name",
    parent_name = "name of parent well or wellbore",
    parent_type = ParentType.well, # or ParentType.wellbore
    well_name = "name of parent well", # top level well; required in addition to the parent name (even if parent is well)
    source = "Source System Name",
    trajectory_ingestion = trajectory_to_create,
    measurement_ingestions = measurements_to_create,
    well_ingestion = well_to_create # if not ingesting a well, then one must already exist
)

wells_client.ingestion.ingest_wellbores([wellbore_to_create]) # Can add multiple WellboreIngestion objects at once

Ingest casing data

import os

from cognite.well_model import CogniteWellsClient
from cognite.well_model.models import DoubleArrayWithUnit, CasingIngestion

wells_client = CogniteWellsClient()
source_casing_id = 102948135620745 # Id of the casing source sequence in cdf


casing_to_ingest = CasingIngestion(
    source_casing_id = source_casing_id,
    wellbore_name = "wellbore name",
    casing_name = "Surface Casing",
    body_inside_diameter = DoubleArrayWithUnit(values=[304.8, 266.7, 234.95], unit="mm"),
    body_outside_diameter = DoubleArrayWithUnit(values=[292.1, 254, 222.25], unit="mm"),
    md_top = DoubleArrayWithUnit(values=[100.0, 120.0, 130.0], unit="m"),
    md_base = DoubleArrayWithUnit(values=[120.0, 150.0, 190.0], unit="m"),
    tvd_top = DoubleArrayWithUnit(values=[100.0, 120.0, 130.0], unit="m"), # TVD measurements are optional
    tvd_base = DoubleArrayWithUnit(values=[120.0, 150.0, 190.0], unit="m") # TVD measurements are optional
)

wells_client.ingestion.ingest_casings([casing_to_ingest]) # Can add multiple CasingIngestion objects at once

Ingest NPT event data

from cognite.well_model import CogniteWellsClient

start_time = 10000000000
end_time = 20000000000

npt_events_to_ingest = [
    NPTIngestionItems(
        wellboreName="Platform WB 12.25 in OH",
        wellName="34/10-8",
        npt_items=[
            NPTIngestion(
                npt_code="EGSK",
                npt_code_detail="FSK",
                npt_code_level="1",
                source_event_external_id="m2rmB",
                source="EDM-NPT",
                description="REAM OUT TIGHT HOLE",
                start_time=start_time,
                end_time=end_time,
                location="North sea",
                measured_depth=DoubleWithUnit(value=100.0), unit="foot"),
                root_cause=source_event.metadata["root_cause"],
                duration=(end_time - start_time) / (60 * 60 * 1000.0), # in hours
                subtype="GSK"
            )
        ],
    )
]

npt_events = client.ingestion.ingest_npt_events(body)

Ingest NDS event data

from cognite.well_model import CogniteWellsClient

start_time = 10000000000
end_time = 20000000000

nds_events_to_ingest = [
    NDSIngestionItems(
        wellbore_name="Platform WB 12.25 in OH",
        well_name="34/10-8",
        nds_items=[
            NDSIngestion(
                source_event_external_id="nds-source-event",
                source="EDM-NDS",
                hole_start=DoubleWithUnit(value=12358.0, unit="foot"),
                hole_end=DoubleWithUnit(value=15477.0, unit="foot"),
                severity=1,
                probability=1,
                description="npt description",
                hole_diameter=DoubleWithUnit(value=1.25, unit="inches"),
                risk_type="Mechanical",
                subtype="Excessive Drag",
            )
        ],
    )
]

nds_events = client.ingestion.ingest_nds_events(body)